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  1. Twitter_Sentiment_Analysis Twitter_Sentiment_Analysis Public

    Conducted real-time Twitter sentiment analysis using Spark, S3, VADER, Athena, Amazon Quicksight processing over 113,000 tweets for insights and create dashboards for visualization.

    Jupyter Notebook 1 1

  2. Credit_Card_Customer_Churn Credit_Card_Customer_Churn Public

    Developed an end-to-end machine learning model to predict credit card customer churn. (All stages including ingestion, EDA, feature engineering, normalization, and scaling, train-validation-split &…

    Jupyter Notebook

  3. Springleaf_Marketing_Response Springleaf_Marketing_Response Public

    This project aims to help Springleaf improve their direct mail marketing strategy by predicting which customers are likely to respond to their loan offers. We used a large dataset with anonymized f…

    Jupyter Notebook