- ICE1 - Python basics 1
- ICE2 - Python basics 2
- ICE3 - Python basics 3 & Web Scraping
- ICE4 - Naive Bayes & SVM
- ICE5 - KMeans Clustering
- ICE6 - Multiple Linear Regression
- Lab1 - Sets, Tuples, Web Scraping, Strings
- Lab2 - Linear Regression, SVM, Naive Bayes, KNN, K-Means Clustering, NLP
- Lab3 - Linear & Logistic Regression, Image Classification with CNN, Text classification with CNN & LSTM
Most of the deep learning tutorials are done through jupyter notebooks