PRML Course Assignments/Projects/Kaggle Competitions
This repository contains :
- Lab Assignments [Some datasets not available, however some
labX.ipynb
s contains link to dataset] - Projects [Main Course Project, Bonus Project]
- Kaggle Competition [Kaggle 1 cant be revealed]
ML Models Covered in the Course
Supervised Learning
- Decision Trees [Lab 2]
- Boosting and Bagging on models [Lab 3]
- Random Forests [Lab 3]
- XGBoost [Lab 3, x]
- LightGBM [Lab 3, x]
- Naive Bayes [Lab 4, 5]
- Linear Discriminant Analysis [Lab 5, 6]
- Quadratic Discriminant Analysis [Lab 5]
- Principal Component Analysis [Lab 6]
- Multi-Layer Percepton [Lab 7]
- Independant Component Analysis (ICA), FastICA [Lab 8]
- Sequential Feature Selection [Lab 8]
- Support Vector Machine [Lab 10]
Unsupervised Learning
- K-Means Clustering [Lab 9]