Pinned Repositories
are_you_still_using_elbow_method
beyond_one_hot
Comparing 17 types of encoding for categorical variables
confusion_viz
Interactive visualization of the output of any binary classifier.
general_vs_specialized_models
mrmr
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
tds_black_box_models_more_explainable
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
tds_features_important_doesnt_mean_good
tds_this_line_of_code_will_turn_your_model_into_a_causal_model
tds_you_dont_need_statistics_to_run_experiments
valicast
Validation for forecasts
smazzanti's Repositories
smazzanti/mrmr
mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
smazzanti/are_you_still_using_elbow_method
smazzanti/tds_black_box_models_more_explainable
Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d
smazzanti/tds_features_important_doesnt_mean_good
smazzanti/valicast
Validation for forecasts
smazzanti/tds_this_line_of_code_will_turn_your_model_into_a_causal_model
smazzanti/tds_you_dont_need_statistics_to_run_experiments
smazzanti/general_vs_specialized_models
smazzanti/standardized_wasserstein_distance
smazzanti/tds_approximate_predictions_for_feature_selection
smazzanti/tds_best_or_luckiest
smazzanti/tds_thompson_sampling
smazzanti/never_use_cross_validation
smazzanti/tds_are_outliers_harder_to_predict
smazzanti/category_encoders
A library of sklearn compatible categorical variable encoders
smazzanti/cqr
Conformalized Quantile Regression
smazzanti/direct_loss_estimation
smazzanti/MAPIE
A scikit-learn-compatible module for estimating prediction intervals.
smazzanti/misc
smazzanti/nonconformist
Python implementation of the conformal prediction framework.
smazzanti/tds-scraping
smazzanti/tds_scraping
smazzanti/tds_your_dataset_has_missing_values_do_nothing
smazzanti/git_tutorial
smazzanti/mlops
smazzanti/rbs
smazzanti/scikit-learn
scikit-learn: machine learning in Python
smazzanti/shap
A game theoretic approach to explain the output of any machine learning model.
smazzanti/tds_whats_wrong_with_r_squared
smazzanti/tds_why_statistical_significance_is_pointless