Predict Churn
Use logistic regression to predict which customers are likely to leave and understand why.
Techniques: ARIMA, Prophet, Logistic Regression, SHAP, Feature Engineering.
Telecom customer data (50K rows)
Demand Forecasting
Build time series models to forecast product demand for the next quarter.
Techniques: Matrix Factorization, Collaborative Filtering, Seasonality Analysis.
Retail sales (3 years monthly)
Quality Defect Detection
Automate quality control in manufacturing using CNNs to detect product defects.
Techniques: CNN, Data Augmentation, Evaluation Metrics.
Product images (10K labeled)
