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1. Smart-Segmentation Smart-Segmentation Public

   Used K-Means to unlock customer personas

   Python

2. HousePricePrediction HousePricePrediction Public

   This project uses the Ames Housing dataset to predict house sale prices. After data cleaning, feature engineering, and encoding, I trained and evaluated Linear Regression and XGBoost models. XGBoos…

   Python

3. HeartDiseasePredictor HeartDiseasePredictor Public

   To understand classification I use models ranging from logistic regression to random forest to predict whether patient has heart disease or not

   Python

4. NetflixContentAnalysis NetflixContentAnalysis Public

   Engineered features, and took deep dive into netflix data to clean and analyse it

   Python

5. Future-Store-Sales Future-Store-Sales Public

   Learn't about time series, ARIMA and SARIMA models to predict future store sales

   Jupyter Notebook