Lecture plan : click here
| Date | Theory Topic | Practical topic | Resources | Submission |
|---|---|---|---|---|
| 01/12/2025 | Introduction to Machine Learning | Numpy and Pandas | Theory , Lab , Data Set | Submit |
| 08/12/2025 | Data Pre-Processing and Feature Engineering | Data Cleaning, Transformation, Feature Engineering with Numpy, Pandas | Theory , Lab | Submit |
| 15/12/2025 | Data Visualization with Matplotlib & Seaborn | Lab | Submit | |
| 22/12/2025 | Recap | |||
| 29/12/2025 | K-NN and Naive Bayes | K-NN and Naive Bayes using scikit-learn | Theory, Lab | |
| 05/01/2026 | Decision Tree Classifier | Decision Tree Classifier using scikit-learn | Theory, Lab | |
| 12/01/2026 | Support Vector Machine(SVM) based classifier | Support Vector Machine(SVM) based classifier using scikit-learn | Theory, Lab | |
| 19/01/2026 | Theory, Lab | |||
| 02/02/2026 | Theory, Lab | |||
| 09/02/2026 | Theory, Lab |
