├── Classified Data ├── Cust_Segmentation.csv ├── Ecommerce Customers ├── Extra-02-SF Salaries Exercise - Solutions.ipynb ├── Extra-02-SF-Salaries-Exercise.ipynb ├── Extra-Plus-Matplotlib-Exercises - Solutions.ipynb ├── Extra-Plus-Matplotlib-Exercises.ipynb ├── Extra_01_ Exercises.ipynb ├── Extra_01_ Exercises_Solutions.ipynb ├── Extracting-Visualizing-Stock-Data.ipynb ├── IBM-Clus-K-Means-Customer-Seg.ipynb ├── KNN_Project_Data ├── Movie_Id_Titles ├── Salaries.csv ├── SpaceX_Machine Learning Prediction_Part_5.ipynb ├── Spacex.csv ├── USA_Housing.csv ├── data_falcon9.csv ├── extra-work-week19-Advanced Recommender Systems with Python.ipynb ├── features_one_hot.csv ├── imports-85.data ├── jupyter-labs-eda-dataviz.ipynb ├── jupyter-labs-eda-sql-coursera.ipynb ├── jupyter-labs-webscraping.ipynb ├── kyphosis.csv ├── labs-jupyter-spacex-Data wrangling.ipynb ├── loan_data.csv ├── monogram1-week1 .ipynb ├── notbook0-week5-Pandas.ipynb ├── notebook-week2.ipynb ├── notebook1-week10-KNN.ipynb ├── notebook1-week11-DecisionTrees-and-RandomForest.ipynb ├── notebook1-week12-Support-Vector-Machines.ipynb ├── notebook1-week13-kMeans-Clustering.ipynb ├── notebook1-week14-Principal Component Analysis.ipynb ├── notebook1-week15-SpaceX-data-collection.ipynb ├── notebook1-week16-Data Wrangling-EDA with Visualization.ipynb ├── notebook1-week17-Data Collection with Web Scraping.ipynb ├── notebook1-week18-Machine Learning Prediction.ipynb ├── notebook1-week19-Recommender Systems with Python.ipynb ├── notebook1-week3.ipynb ├── notebook1-week4.ipynb ├── notebook1-week5-NumPy.ipynb ├── notebook1-week6-data-visualization.ipynb ├── notebook1-week7-Data-Wrangling .ipynb ├── notebook1-week8-LinearRegression.ipynb ├── notebook1-week9-Logistic-Regression.ipynb ├── notebook1_deeplearning.ipynb ├── notebook2-wee8-Linear Regression Project.ipynb ├── notebook2-week-12-Support-Vector-Machines-Project.ipynb ├── notebook2-week10-KNN-Project-Solutions.ipynb ├── notebook2-week10-KNN-Project.ipynb ├── notebook2-week11-DecisionTrees-and-RandomForestExtra-Project.ipynb ├── notebook2-week11-DecisionTrees-and-RandomForestExtra-ProjectSolutions.ipynb ├── notebook2-week12-Support-Vector-Machines-Project-Solution.ipynb ├── notebook2-week15-jupyter-labs-spacex-data-collection-api.ipynb ├── notebook2-week17-EDA with SQL.ipynb ├── notebook2-week3.ipynb ├── notebook2-week4-pandas.ipynb ├── notebook2-week5-Matplotlib.ipynb ├── notebook2-week6-data-wrangling.ipynb ├── notebook2-week8-Linear Regression Project - Solutions.ipynb ├── notebook2_deeplearning.ipynb ├── notebook3-week5-Extracting-Stock-Data-Solution.ipynb ├── notebook3-week5-Extracting-Stock-Data.ipynb ├── titanic_train.csv ├── u.data ├── u.item └── week-19 /Classified Data: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/monahatami1/monogram1/HEAD/Classified Data -------------------------------------------------------------------------------- /Cust_Segmentation.csv: 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