Machine Learning Projects: Academic Projects

Projects for Machine Learning (including Academic Projects)

ML Offline 1 Decision Tree AdaBoost: Decision Tree and AdaBoost implementation from scratch in Python.
ML Offline 2 KNN and NaiveBayes on Text Classification: Implementation of KNN and NaiveBayes Classifier from scratch in Python to classify text data of stackexchange.
ML Offline 3 on PCA and Expectation-Maximization: Implementation of PCA algorithm and Expectation-Maximization algorithm from scratch in Python.
Additionally, ML CW 1 MultiClass Logistic Regression: Implementation of Multi-Class Logistic Regression from scratch in Python.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
ML CW 1 MultiClass Logistic Regression		ML CW 1 MultiClass Logistic Regression
ML GLoVe Assignment		ML GLoVe Assignment
ML Offline 1 Decision Tree AdaBoost		ML Offline 1 Decision Tree AdaBoost
ML Offline 2 KNN and NaiveBayes on Text Classification		ML Offline 2 KNN and NaiveBayes on Text Classification
ML Offline 3 on PCA and Expectation-Maximization		ML Offline 3 on PCA and Expectation-Maximization
README.md		README.md

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