GitHub / Vedant2311 / Machine-Learning-Algorithms

Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)

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Topics: batch-gradient-descent, cvxopt, decision-trees, feature-engineering, fmnist-dataset, gaussian-discriminant-analysis, hyperparameter-optimization, linear-regression, logistic-regression, machine-learning-algorithms, naive-bayes-classifier, neural-networks, post-pruning, random-forest, scikit-learn, sentiment-analysis, stochastic-gradient-descent, support-vector-machines, yelp-review-analysis

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• Readme
• Dependencies