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  1. causal_ml_101 causal_ml_101 Public

    Causal ML 101 - What Is It, and Where (Not) to Use

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  2. Airbnb_project Airbnb_project Public

    Descriptive analysis of Airbnb data from Seattle, Boston and Copenhagen

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  3. customer_churn_prediction customer_churn_prediction Public

    Based on realistic but simulated data on customer purchases, build the machine learning model to predict the probability of individual customer to churn (stop ordering products) within a defined fu…

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  4. clustering_arena clustering_arena Public

    A head-to-head comparison of clustering algorithms on selected real-world datasets

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  5. embeddings_101 embeddings_101 Public

    A hands-on introduction to the representation underneath every modern language, search, and recommendation system, built from counting word co-occurrences up to a trained-from-scratch word2vec and …

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  6. dim_reduction_arena dim_reduction_arena Public

    A head-to-head comparison of six dimensionality-reduction methods (PCA, kernel PCA, t-SNE, UMAP, MDS, and a random projection) on datasets whose true structure is known

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