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web11_streamlit
web11_streamlit
 
 
.gitignore
.gitignore
 
 
07_grid_bikes.ipynb
07_grid_bikes.ipynb
 
 
TimeTransformer.py
TimeTransformer.py
 
 
best_net.pkl
best_net.pkl
 
 
bike_time.ipynb
bike_time.ipynb
 
 
bikes.py
bikes.py
 
 
bikes_exploration.ipynb
bikes_exploration.ipynb
 
 
bikes_pipeline.joblib
bikes_pipeline.joblib
 
 
gridTMP.pkl
gridTMP.pkl
 
 
grid_results.csv
grid_results.csv
 
 
hello.py
hello.py
 
 
hour.csv
hour.csv
 
 
iris.py
iris.py
 
 
iris_model.joblib
iris_model.joblib
 
 
metrics_classification.py
metrics_classification.py
 
 
metrics_regression.py
metrics_regression.py
 
 
missing_values.py
missing_values.py
 
 
movie_review.csv
movie_review.csv
 
 
overfitting_deep.py
overfitting_deep.py
 
 
overfitting_underfitting.py
overfitting_underfitting.py
 
 
pipeline.pkl
pipeline.pkl
 
 
pro02_learning_curve.ipynb
pro02_learning_curve.ipynb
 
 
pro03_cross_validation.ipynb
pro03_cross_validation.ipynb
 
 
pro04_grid_search.ipynb
pro04_grid_search.ipynb
 
 
pro05_pipeline.ipynb
pro05_pipeline.ipynb
 
 
pro06_grid_and_pipeline.ipynb
pro06_grid_and_pipeline.ipynb
 
 
pro08_feature_selection.ipynb
pro08_feature_selection.ipynb
 
 
pro09_dimensionality_reduction.ipynb
pro09_dimensionality_reduction.ipynb
 
 
pro10_feature_augmentation.ipynb
pro10_feature_augmentation.ipynb
 
 
pro11_feature_importance_easy.ipynb
pro11_feature_importance_easy.ipynb
 
 
pro12_feature_importance.ipynb
pro12_feature_importance.ipynb
 
 
pro13_classifier_metrics.ipynb
pro13_classifier_metrics.ipynb
 
 
pro14_unbalanced_classes.ipynb
pro14_unbalanced_classes.ipynb
 
 
pro15_multiclass_multilabel.ipynb
pro15_multiclass_multilabel.ipynb
 
 
pro16_compare_models.ipynb
pro16_compare_models.ipynb
 
 
pro17_ensemble_grid.ipynb
pro17_ensemble_grid.ipynb
 
 
pro18_bagging.ipynb
pro18_bagging.ipynb
 
 
pro19_boosting.ipynb
pro19_boosting.ipynb
 
 
requirements.txt
requirements.txt
 
 
scaling.py
scaling.py
 
 
sentiment.py
sentiment.py
 
 
sentiment_model.joblib
sentiment_model.joblib
 
 
sentiment_pipeline.joblib
sentiment_pipeline.joblib
 
 
sentiment_vectorizer.joblib
sentiment_vectorizer.joblib
 
 
vectorize_categories.py
vectorize_categories.py
 
 
vectorize_texts.py
vectorize_texts.py
 
 
web01_save_iris.py
web01_save_iris.py
 
 
web02_load_iris.ipynb
web02_load_iris.ipynb
 
 
web02_load_iris.py
web02_load_iris.py
 
 
web03_save_sentiment.py
web03_save_sentiment.py
 
 
web04_load_sentiment.ipynb
web04_load_sentiment.ipynb
 
 
web05_save_sentiment_pipeline.py
web05_save_sentiment_pipeline.py
 
 
web06_load_sentiment_pipeline.ipynb
web06_load_sentiment_pipeline.ipynb
 
 
web07_save_bikes_pipeline.py
web07_save_bikes_pipeline.py
 
 
web08_load_bikes_pipeline.ipynb
web08_load_bikes_pipeline.ipynb
 
 
web09_flask_server.py
web09_flask_server.py
 
 
web10_flask_request.ipynb
web10_flask_request.ipynb
 
 

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Materiale del corso di machine learnign in python su Youtube https://www.youtube.com/watch?v=U78wETHkBKU&list=PLa-sizbCyh93evwIevvnjWFEH94N5giIG

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