├── .gitignore ├── README.md ├── data ├── Adult_final.csv ├── AirPassengers.csv ├── data.csv ├── finaprojects.csv └── hw2data.csv ├── final_project.md ├── flaskapi ├── README.md ├── data │ └── titanic.csv ├── main.py ├── model │ ├── model.pkl │ └── model_columns.pkl ├── requirements.txt ├── sendrequest.py └── tests.py ├── homework ├── Homework 0 - Mathematical and Coding Foundations and Review.ipynb ├── Homework 1 - Introduction to Supervised Learning.ipynb ├── Homework 2- Model Selection and Regularization.ipynb └── hw3.csv ├── html ├── Makefile ├── content │ └── keyboard-review.md ├── develop_server.sh ├── fabfile.py ├── output │ ├── archives.html │ ├── author │ │ └── dorian-goldman.html │ ├── authors.html │ ├── categories.html │ ├── category │ │ └── review.html │ ├── index.html │ ├── my-first-review.html │ ├── tags.html │ └── theme │ │ ├── css │ │ ├── main.css │ │ ├── pygment.css │ │ ├── reset.css │ │ ├── typogrify.css │ │ └── wide.css │ │ └── images │ │ └── icons │ │ ├── aboutme.png │ │ ├── bitbucket.png │ │ ├── delicious.png │ │ ├── facebook.png │ │ ├── github.png │ │ ├── gitorious.png │ │ ├── gittip.png │ │ ├── google-groups.png │ │ ├── google-plus.png │ │ ├── hackernews.png │ │ ├── lastfm.png │ │ ├── linkedin.png │ │ ├── reddit.png │ │ ├── rss.png │ │ ├── slideshare.png │ │ ├── speakerdeck.png │ │ ├── stackoverflow.png │ │ ├── twitter.png │ │ ├── vimeo.png │ │ └── youtube.png ├── pelicanconf.py ├── pelicanconf.pyc └── publishconf.py ├── img ├── levelsets.png ├── overfitting.png ├── regression.png ├── regressionexample └── regularization.png ├── lectures ├── Lecture 1. What is Data Science_.pdf ├── Lecture 2 - Mathematics Review.pdf ├── Lecture 2. Introduction to Supervised Learning (1).pdf ├── Lecture 3 - Model Selection, Evaluation and Regularization.pdf ├── Lecture 4 - Classification (1).pdf └── Lecture 5 - Decision Trees and Non-Parametric Models.pdf ├── notebooks ├── .DS_Store ├── .ipynb_checkpoints │ ├── Cleaning and Featurizing Data-checkpoint.ipynb │ ├── Lecture 2 - Regression Bookingdotcom Case Study-checkpoint.ipynb │ ├── Lecture 3 - Model Complexity and Regularization-checkpoint.ipynb │ ├── Lecture 4 - Correlation and Principle Component Analysis-checkpoint.ipynb │ ├── Lecture 5 - Classification-checkpoint.ipynb │ ├── Lecture 6 - Decision Tree Regression-checkpoint.ipynb │ ├── Lecture 6 - Decision Trees-checkpoint.ipynb │ ├── Lecture1 - Introduction-to-Regression-checkpoint.ipynb │ ├── PCA - MNIST example-checkpoint.ipynb │ └── Untitled-checkpoint.ipynb ├── Example of summing two normal random variables.ipynb ├── Lecture 1 - Introduction to Regression.ipynb ├── Lecture 10 - Time Series Forecasting.ipynb ├── Lecture 2 - Regression Bookingdotcom Case Study.ipynb ├── Lecture 3 - Model Complexity and Regularization.ipynb ├── Lecture 4 - Correlation and Principle Component Analysis.ipynb ├── Lecture 5 - Classification.ipynb ├── Lecture 5 - Cleaning and Featurizing Data.ipynb ├── Lecture 6 - Decision Tree Regression.ipynb ├── Lecture 6 - Decision Trees.ipynb ├── Lecture 7 - Recommendation Engines.ipynb ├── Lecture 9 - Unsupervised Learning.ipynb ├── Lecture Questions.ipynb ├── Markov Decision Processes via Policy Gradients.ipynb ├── PCA - MNIST example.ipynb ├── Untitled.ipynb ├── Untitled1.ipynb ├── Untitled2.ipynb ├── dt.dot ├── dt.png ├── matrix_factorization_recommender.ipynb ├── mnist_pca.png └── temp-plot.html ├── pdfs ├── AllofStatistics.pdf ├── Conditional-Probability.pdf ├── Discrete-Probabilities.pdf ├── Effective Computation in Physics.pdf ├── ISLR_First_Printing.pdf ├── MachineLearningMethodsGraph.pdf ├── Scikit_Learn_Cheat_Sheet_Python.pdf ├── [Mark Joshi]Quant Job Interview Questions And Answers (1).pdf ├── coinbias.pdf ├── eigenvaluenotes.pdf ├── lagrangemultipliers.aux ├── lagrangemultipliers.log ├── lagrangemultipliers.out ├── lagrangemultipliers.pdf ├── lagrangemultipliers.synctex.gz ├── lagrangemultipliers.tex └── lecture4notes.pdf ├── recengine ├── .gitignore ├── README.md ├── event-suggestors │ ├── RA_history_event_suggestions.py │ ├── RA_neighbors_event_suggestions.py │ └── RA_scrapedoutput_reader.py ├── nearest-neighbors-generators │ ├── RASparse_rowcol_generator.py │ └── RA_generate_neighbors.py ├── php-files │ ├── raticket_advisor.php │ ├── ratickets4b.py │ ├── userid.html │ ├── userid.php │ └── write_events.php └── scraper-programs │ └── RAEventPageScraper.py ├── src └── project_proposal_bot.py └── webapp ├── data └── train_titanic.csv ├── hello.py └── templates └── my-form.html /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/README.md -------------------------------------------------------------------------------- /data/Adult_final.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/data/Adult_final.csv -------------------------------------------------------------------------------- /data/AirPassengers.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/data/AirPassengers.csv -------------------------------------------------------------------------------- /data/data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/data/data.csv -------------------------------------------------------------------------------- /data/finaprojects.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/data/finaprojects.csv -------------------------------------------------------------------------------- /data/hw2data.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/data/hw2data.csv -------------------------------------------------------------------------------- /final_project.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/final_project.md -------------------------------------------------------------------------------- /flaskapi/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/README.md -------------------------------------------------------------------------------- /flaskapi/data/titanic.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/data/titanic.csv -------------------------------------------------------------------------------- /flaskapi/main.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/main.py -------------------------------------------------------------------------------- /flaskapi/model/model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/model/model.pkl -------------------------------------------------------------------------------- /flaskapi/model/model_columns.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/model/model_columns.pkl -------------------------------------------------------------------------------- /flaskapi/requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/requirements.txt -------------------------------------------------------------------------------- /flaskapi/sendrequest.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/sendrequest.py -------------------------------------------------------------------------------- /flaskapi/tests.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/flaskapi/tests.py -------------------------------------------------------------------------------- /homework/Homework 0 - Mathematical and Coding Foundations and Review.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/homework/Homework 0 - Mathematical and Coding Foundations and Review.ipynb -------------------------------------------------------------------------------- /homework/Homework 1 - Introduction to Supervised Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/homework/Homework 1 - Introduction to Supervised Learning.ipynb -------------------------------------------------------------------------------- /homework/Homework 2- Model Selection and Regularization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/homework/Homework 2- Model Selection and Regularization.ipynb -------------------------------------------------------------------------------- /homework/hw3.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/homework/hw3.csv -------------------------------------------------------------------------------- /html/Makefile: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/Makefile -------------------------------------------------------------------------------- /html/content/keyboard-review.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/content/keyboard-review.md -------------------------------------------------------------------------------- /html/develop_server.sh: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/develop_server.sh -------------------------------------------------------------------------------- /html/fabfile.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/fabfile.py -------------------------------------------------------------------------------- /html/output/archives.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/archives.html -------------------------------------------------------------------------------- /html/output/author/dorian-goldman.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/author/dorian-goldman.html -------------------------------------------------------------------------------- /html/output/authors.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/authors.html -------------------------------------------------------------------------------- /html/output/categories.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/categories.html -------------------------------------------------------------------------------- /html/output/category/review.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/category/review.html -------------------------------------------------------------------------------- /html/output/index.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/index.html -------------------------------------------------------------------------------- /html/output/my-first-review.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/my-first-review.html -------------------------------------------------------------------------------- /html/output/tags.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/tags.html -------------------------------------------------------------------------------- /html/output/theme/css/main.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/css/main.css -------------------------------------------------------------------------------- /html/output/theme/css/pygment.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/css/pygment.css -------------------------------------------------------------------------------- /html/output/theme/css/reset.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/css/reset.css -------------------------------------------------------------------------------- /html/output/theme/css/typogrify.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/css/typogrify.css -------------------------------------------------------------------------------- /html/output/theme/css/wide.css: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/css/wide.css -------------------------------------------------------------------------------- /html/output/theme/images/icons/aboutme.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/aboutme.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/bitbucket.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/bitbucket.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/delicious.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/delicious.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/facebook.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/facebook.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/github.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/github.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/gitorious.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/gitorious.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/gittip.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/gittip.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/google-groups.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/google-groups.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/google-plus.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/google-plus.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/hackernews.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/hackernews.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/lastfm.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/lastfm.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/linkedin.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/linkedin.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/reddit.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/reddit.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/rss.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/rss.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/slideshare.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/slideshare.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/speakerdeck.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/speakerdeck.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/stackoverflow.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/stackoverflow.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/twitter.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/twitter.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/vimeo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/vimeo.png -------------------------------------------------------------------------------- /html/output/theme/images/icons/youtube.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/output/theme/images/icons/youtube.png -------------------------------------------------------------------------------- /html/pelicanconf.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/pelicanconf.py -------------------------------------------------------------------------------- /html/pelicanconf.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/pelicanconf.pyc -------------------------------------------------------------------------------- /html/publishconf.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/html/publishconf.py -------------------------------------------------------------------------------- /img/levelsets.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/img/levelsets.png -------------------------------------------------------------------------------- /img/overfitting.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/img/overfitting.png -------------------------------------------------------------------------------- /img/regression.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/img/regression.png -------------------------------------------------------------------------------- /img/regressionexample: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/img/regressionexample -------------------------------------------------------------------------------- /img/regularization.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/img/regularization.png -------------------------------------------------------------------------------- /lectures/Lecture 1. What is Data Science_.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 1. What is Data Science_.pdf -------------------------------------------------------------------------------- /lectures/Lecture 2 - Mathematics Review.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 2 - Mathematics Review.pdf -------------------------------------------------------------------------------- /lectures/Lecture 2. Introduction to Supervised Learning (1).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 2. Introduction to Supervised Learning (1).pdf -------------------------------------------------------------------------------- /lectures/Lecture 3 - Model Selection, Evaluation and Regularization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 3 - Model Selection, Evaluation and Regularization.pdf -------------------------------------------------------------------------------- /lectures/Lecture 4 - Classification (1).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 4 - Classification (1).pdf -------------------------------------------------------------------------------- /lectures/Lecture 5 - Decision Trees and Non-Parametric Models.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/lectures/Lecture 5 - Decision Trees and Non-Parametric Models.pdf -------------------------------------------------------------------------------- /notebooks/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.DS_Store -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Cleaning and Featurizing Data-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Cleaning and Featurizing Data-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 2 - Regression Bookingdotcom Case Study-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 2 - Regression Bookingdotcom Case Study-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 3 - Model Complexity and Regularization-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 3 - Model Complexity and Regularization-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 4 - Correlation and Principle Component Analysis-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 4 - Correlation and Principle Component Analysis-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 5 - Classification-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 5 - Classification-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 6 - Decision Tree Regression-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 6 - Decision Tree Regression-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture 6 - Decision Trees-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture 6 - Decision Trees-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Lecture1 - Introduction-to-Regression-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Lecture1 - Introduction-to-Regression-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/PCA - MNIST example-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/PCA - MNIST example-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/.ipynb_checkpoints/Untitled-checkpoint.ipynb -------------------------------------------------------------------------------- /notebooks/Example of summing two normal random variables.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Example of summing two normal random variables.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 1 - Introduction to Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 1 - Introduction to Regression.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 10 - Time Series Forecasting.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 10 - Time Series Forecasting.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 2 - Regression Bookingdotcom Case Study.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 2 - Regression Bookingdotcom Case Study.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 3 - Model Complexity and Regularization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 3 - Model Complexity and Regularization.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 4 - Correlation and Principle Component Analysis.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 4 - Correlation and Principle Component Analysis.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 5 - Classification.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 5 - Classification.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 5 - Cleaning and Featurizing Data.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 5 - Cleaning and Featurizing Data.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 6 - Decision Tree Regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 6 - Decision Tree Regression.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 6 - Decision Trees.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 6 - Decision Trees.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 7 - Recommendation Engines.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 7 - Recommendation Engines.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture 9 - Unsupervised Learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture 9 - Unsupervised Learning.ipynb -------------------------------------------------------------------------------- /notebooks/Lecture Questions.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Lecture Questions.ipynb -------------------------------------------------------------------------------- /notebooks/Markov Decision Processes via Policy Gradients.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Markov Decision Processes via Policy Gradients.ipynb -------------------------------------------------------------------------------- /notebooks/PCA - MNIST example.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/PCA - MNIST example.ipynb -------------------------------------------------------------------------------- /notebooks/Untitled.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Untitled.ipynb -------------------------------------------------------------------------------- /notebooks/Untitled1.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Untitled1.ipynb -------------------------------------------------------------------------------- /notebooks/Untitled2.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/Untitled2.ipynb -------------------------------------------------------------------------------- /notebooks/dt.dot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/dt.dot -------------------------------------------------------------------------------- /notebooks/dt.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/dt.png -------------------------------------------------------------------------------- /notebooks/matrix_factorization_recommender.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/matrix_factorization_recommender.ipynb -------------------------------------------------------------------------------- /notebooks/mnist_pca.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/mnist_pca.png -------------------------------------------------------------------------------- /notebooks/temp-plot.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/notebooks/temp-plot.html -------------------------------------------------------------------------------- /pdfs/AllofStatistics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/AllofStatistics.pdf -------------------------------------------------------------------------------- /pdfs/Conditional-Probability.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/Conditional-Probability.pdf -------------------------------------------------------------------------------- /pdfs/Discrete-Probabilities.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/Discrete-Probabilities.pdf -------------------------------------------------------------------------------- /pdfs/Effective Computation in Physics.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/Effective Computation in Physics.pdf -------------------------------------------------------------------------------- /pdfs/ISLR_First_Printing.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/ISLR_First_Printing.pdf -------------------------------------------------------------------------------- /pdfs/MachineLearningMethodsGraph.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/MachineLearningMethodsGraph.pdf -------------------------------------------------------------------------------- /pdfs/Scikit_Learn_Cheat_Sheet_Python.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/Scikit_Learn_Cheat_Sheet_Python.pdf -------------------------------------------------------------------------------- /pdfs/[Mark Joshi]Quant Job Interview Questions And Answers (1).pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/[Mark Joshi]Quant Job Interview Questions And Answers (1).pdf -------------------------------------------------------------------------------- /pdfs/coinbias.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/coinbias.pdf -------------------------------------------------------------------------------- /pdfs/eigenvaluenotes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/eigenvaluenotes.pdf -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.aux: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.aux -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.log: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.log -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.out: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.out -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.pdf -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.synctex.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.synctex.gz -------------------------------------------------------------------------------- /pdfs/lagrangemultipliers.tex: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lagrangemultipliers.tex -------------------------------------------------------------------------------- /pdfs/lecture4notes.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/pdfs/lecture4notes.pdf -------------------------------------------------------------------------------- /recengine/.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/.gitignore -------------------------------------------------------------------------------- /recengine/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/README.md -------------------------------------------------------------------------------- /recengine/event-suggestors/RA_history_event_suggestions.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/event-suggestors/RA_history_event_suggestions.py -------------------------------------------------------------------------------- /recengine/event-suggestors/RA_neighbors_event_suggestions.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/event-suggestors/RA_neighbors_event_suggestions.py -------------------------------------------------------------------------------- /recengine/event-suggestors/RA_scrapedoutput_reader.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/event-suggestors/RA_scrapedoutput_reader.py -------------------------------------------------------------------------------- /recengine/nearest-neighbors-generators/RASparse_rowcol_generator.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/nearest-neighbors-generators/RASparse_rowcol_generator.py -------------------------------------------------------------------------------- /recengine/nearest-neighbors-generators/RA_generate_neighbors.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/nearest-neighbors-generators/RA_generate_neighbors.py -------------------------------------------------------------------------------- /recengine/php-files/raticket_advisor.php: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/php-files/raticket_advisor.php -------------------------------------------------------------------------------- /recengine/php-files/ratickets4b.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/php-files/ratickets4b.py -------------------------------------------------------------------------------- /recengine/php-files/userid.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/php-files/userid.html -------------------------------------------------------------------------------- /recengine/php-files/userid.php: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/php-files/userid.php -------------------------------------------------------------------------------- /recengine/php-files/write_events.php: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/php-files/write_events.php -------------------------------------------------------------------------------- /recengine/scraper-programs/RAEventPageScraper.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/recengine/scraper-programs/RAEventPageScraper.py -------------------------------------------------------------------------------- /src/project_proposal_bot.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/src/project_proposal_bot.py -------------------------------------------------------------------------------- /webapp/data/train_titanic.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/webapp/data/train_titanic.csv -------------------------------------------------------------------------------- /webapp/hello.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/webapp/hello.py -------------------------------------------------------------------------------- /webapp/templates/my-form.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Columbia-Intro-Data-Science/APMAE4990-/HEAD/webapp/templates/my-form.html --------------------------------------------------------------------------------