Achieving 100/100 points
Task 1: Image Compression
- Compressing images with PCA and reconstructing them
- Finding the optimal number of components using threshold of explained variance
- Building an image classifier of Logistic Regression
- Compressing images, reducing number of colors with k-means clustering
Task 2: Time Series Forecasting
- Checking if TS is stationary with ADF
- Stationarizing the TS through differencing Vs. deseasonalization
- Finding the hyperparameters for ARIMA model
- Forecasting with ARIMA model
Task 3: Recommender System
- Content-based recommender system
- Collaborative filtering recommender system (Item-based)
- Combining both into Hybrid recommender system