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  1. California-Housing-Prediction California-Housing-Prediction Public

    Predicting house prices in California using Random Forest with 82% accuracy.

    Jupyter Notebook

  2. WA_Fn-UseC_-Telco-Customer-Churn WA_Fn-UseC_-Telco-Customer-Churn Public

    Telco Churn Prediction Project : Built a Logistic Regression model to predict customer churn. Key features: Handling imbalance using class_weight='balanced', threshold tuning (0.39) to achieve 91% …

    Jupyter Notebook

  3. Car-Price-Prediction Car-Price-Prediction Public

    A Web-based Machine Learning app to predict used car prices using Random Forest.

    Jupyter Notebook

  4. AmalZeinn.github.io AmalZeinn.github.io Public