├── .gitignore ├── LICENSE ├── README.MD ├── archive └── Deep Learning with Pytorch and Fastai.ipynb ├── data ├── aapl.csv ├── close_prices.csv ├── closing_prices.csv ├── closing_prices_tiingo.csv ├── data.csv ├── eng-fra.txt ├── headers.txt ├── headers_stocks.csv ├── housing.csv ├── kc_house_data.csv ├── price_dict.npy ├── raw_data.csv ├── return_optimal_weights_MV_cvxpy.csv ├── stocks_1980_2020.csv ├── tickers.npy ├── volume.csv └── volume_tiingo.csv ├── images ├── end_to_end_project │ ├── attribute_histogram_plots.png │ ├── bad_visualization_plot.png │ ├── better_visualization_plot.png │ ├── housing_prices_scatterplot.png │ └── scatter_matrix_plot.png └── ensembles │ ├── boosting_plot.png │ ├── decision_tree_without_and_with_bagging_plot.png │ ├── early_stopping_gbrt_plot.png │ ├── gbrt_learning_rate_plot.png │ ├── gradient_boosting_plot.png │ ├── law_of_large_numbers_plot.png │ └── mnist_feature_importance_plot.png ├── notebooks ├── .ipynb_checkpoints │ ├── 2.1 Numerical Computing-checkpoint.ipynb │ ├── 2.2. Data Analysis with Pandas-checkpoint.ipynb │ ├── 4. Generalized Linear Models-checkpoint.ipynb │ └── XGBoostRegressor-checkpoint.ipynb ├── 1. Data Types and Structures.ipynb ├── 2.1 Numerical Computing.ipynb ├── 2.2. Data Analysis with Pandas.ipynb ├── 3. Ploting data.ipynb ├── 3.01 Time Series with Pandas.ipynb ├── 3.1 Portfolio optimization.ipynb ├── 3.2. Portfolio Optimization Markowitz .ipynb ├── 4. Generalized Linear Models.ipynb ├── 5. Support Vector Machines.ipynb ├── 6. Ensemble Methods.ipynb ├── CNN on CIFAR10.ipynb ├── CNN on Fashion MNIST tf.keras Batch Normalization.ipynb ├── CNN on MNIST tf.keras Batch Normalization Lecture.ipynb ├── DNN on CIFAR10 tf.keras Batch Normalization Lecture-No callbacks.ipynb ├── DNN on CIFAR10 tf.keras Batch Normalization Lecture.ipynb ├── DNN on CIFAR10 tf.keras.ipynb ├── Get Data From Yahoo.ipynb ├── Hyper-param Search with Ray.ipynb ├── INTRO Python Numpy Pytorch .ipynb ├── NLP From Scrach Example from Pytorch.ipynb ├── RNN.ipynb ├── XGBoostRegressor.ipynb ├── figures │ ├── 3D-conv.png │ ├── DeepLearn.png │ ├── Presentation1.jpg │ ├── README.md │ ├── complete_cnn.jpeg │ ├── convolution.png │ ├── edge-detection-vertical.png │ ├── filters.png │ ├── full_cnn.png │ ├── grid_search_cross_validation.png │ ├── lstm.jpg │ ├── lstm.png │ ├── ml_map.png │ ├── padding.png │ ├── precission-recall.png │ ├── rnn.png │ ├── svm_plot_separating_hyperplane_0011.png │ ├── xgb1.jpg │ └── xgb2.png └── homework aifi.ipynb ├── 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