- Flower Mound, TX
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12:48
(UTC -06:00) - in/egrobov
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Customer_clustering.
Customer_clustering. PublicClustered customers into distinct groups based on similarity among demographical and geographical parameters. Applied PCA to dispose insignificant and multi correlated variances. Defined optimal nuโฆ
Jupyter Notebook 3
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saleprice_prediction
saleprice_prediction PublicFamous house sale price prediction dataset from Kaggle competition. EDA,Data Encoding, Labeling. Data Modeling.
Jupyter Notebook
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nlp_spam_detection
nlp_spam_detection Publicnltk, regex, tf-idf, count vector, feature engineering, grid search, Random Forest and Gradient Boost models.
Jupyter Notebook
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recommender_system
recommender_system Publicmatrix factorization methods, deep learning
Jupyter Notebook
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Churn_Detector
Churn_Detector PublicBuilt several predictive machine learning algorithm to predict customer churn.
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MarketingPlaninig_LR
MarketingPlaninig_LR PublicUsing 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
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