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Algorithmns
Algorithmns
 
 
01_stats_data.py
01_stats_data.py
 
 
02_simple_linear_regression.py
02_simple_linear_regression.py
 
 
03_loss_functions.py
03_loss_functions.py
 
 
04_scoring.py
04_scoring.py
 
 
05_multiple_linear_regression.py
05_multiple_linear_regression.py
 
 
06_input_data.csv
06_input_data.csv
 
 
06_output_data.csv
06_output_data.csv
 
 
06_pandas.py
06_pandas.py
 
 
07_model.py
07_model.py
 
 
07_output_salepricemodel.pkl
07_output_salepricemodel.pkl
 
 
08_input.json
08_input.json
 
 
08_predict.py
08_predict.py
 
 
09_flask_api.py
09_flask_api.py
 
 
10_model_compare.py
10_model_compare.py
 
 
11_MV_DV_correlation.csv
11_MV_DV_correlation.csv
 
 
11_feature_selection_mvdv.py
11_feature_selection_mvdv.py
 
 
11_input_data.csv
11_input_data.csv
 
 
11_output_data.csv
11_output_data.csv
 
 
12_PV_MVDV_correlation.csv
12_PV_MVDV_correlation.csv
 
 
12_feature_selection_pv_mvdv.py
12_feature_selection_pv_mvdv.py
 
 
12_output_data.csv
12_output_data.csv
 
 
13_feature_selection_rfe.py
13_feature_selection_rfe.py
 
 
14_input_data.csv
14_input_data.csv
 
 
14_trend_parity_plots.py
14_trend_parity_plots.py
 
 
15_outliers.py
15_outliers.py
 
 
16_univariateplot.py
16_univariateplot.py
 
 
17_bivariateplot.py
17_bivariateplot.py
 
 
18_multivariateplot.py
18_multivariateplot.py
 
 
19_vectors.py
19_vectors.py
 
 
1stFlrSF.png
1stFlrSF.png
 
 
20_NLTK.py
20_NLTK.py
 
 
21_Kfold.py
21_Kfold.py
 
 
22_stepwise_forward_selection.py
22_stepwise_forward_selection.py
 
 
23_input_data.csv
23_input_data.csv
 
 
23_model_creation.py
23_model_creation.py
 
 
23_sens_analysis.csv
23_sens_analysis.csv
 
 
23_sensitivity_analysis.py
23_sensitivity_analysis.py
 
 
24_hyperparameter_tuning.py
24_hyperparameter_tuning.py
 
 
25_low_salespr_corr_columns.py
25_low_salespr_corr_columns.py
 
 
26_valleymovingwindow.py
26_valleymovingwindow.py
 
 
27_features_from_images.py
27_features_from_images.py
 
 
28_feature_scaling.py
28_feature_scaling.py
 
 
29_gradient_descent.py
29_gradient_descent.py
 
 
Dockerfile
Dockerfile
 
 
ParallelCoordinates.jpg
ParallelCoordinates.jpg
 
 
README.md
README.md
 
 
index.html
index.html
 
 
metrics.csv
metrics.csv
 
 
parallel_coordinates_plot.html
parallel_coordinates_plot.html
 
 
requirements.txt
requirements.txt
 
 

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Example code for Machine Learning with scikit-learn python library.

License : GNU GPL

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machine_learning_examples

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python learning machine scikit-learn kaniyam

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