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1. Anomaly_detection_using_ML Anomaly_detection_using_ML Public

   Price anomaly detection for time series using K-means clustering, Isolation Forest, One Class SVM and Gaussian Distribution

   Jupyter Notebook 2 2

2. AB_test_analysis AB_test_analysis Public

   Understanding results of A/B test run by e-commerce website using p-value calculations, z-core test, logistic and multiple linear regressions and bootstrapping sampling distribution

   HTML

3. Churn_prediction_using_logistic_regression Churn_prediction_using_logistic_regression Public

   Predicting customer churn with logistic regression by applying Synthetic Minority Oversampling Technique and Recursive Feature Elimination

   Jupyter Notebook 2

4. Disaster_response_pipeline Disaster_response_pipeline Public

   ML pipeline to categorize emergency messages using NLTK and visualize the results with Flask

   Jupyter Notebook

5. Customer_segmentation_Arvato Customer_segmentation_Arvato Public

   k-means clustering, XGBClassifier and Gradient Boosting for customer segmentation and acquisition

   HTML 2 3

6. Predict_CLTV_with_linear_regression Predict_CLTV_with_linear_regression Public

   Utilize linear regression to predict Customer Lifetime Value and develop positive ROI strategies

   Jupyter Notebook 10 9