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evgenygrobov/README.md

Hi, Eugene is here ๐Ÿ‘‹

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  1. Customer_clustering. Customer_clustering. Public

    Clustered customers into distinct groups based on similarity among demographical and geographical parameters. Applied PCA to dispose insignificant and multi correlated variances. Defined optimal nuโ€ฆ

    Jupyter Notebook 3

  2. saleprice_prediction saleprice_prediction Public

    Famous house sale price prediction dataset from Kaggle competition. EDA,Data Encoding, Labeling. Data Modeling.

    Jupyter Notebook

  3. nlp_spam_detection nlp_spam_detection Public

    nltk, regex, tf-idf, count vector, feature engineering, grid search, Random Forest and Gradient Boost models.

    Jupyter Notebook

  4. recommender_system recommender_system Public

    matrix factorization methods, deep learning

    Jupyter Notebook

  5. Churn_Detector Churn_Detector Public

    Built several predictive machine learning algorithm to predict customer churn.

    Jupyter Notebook

  6. MarketingPlaninig_LR MarketingPlaninig_LR Public

    Using Regression Analysis and Hypothesis Testing I identified which marketing channel contributes the most to Revenue Generation, and also what channel cannibalized Revenue from another, R^2 =0.968.

    Jupyter Notebook