Machine Learning Library From Scratch

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• Built a custom Python ML library with cross‑validation to support ID3, perceptron, logistic‑regression, and SVM classifiers.
• Leveraged library to secure a top‑10 finish out of 150+ teams in a course Kaggle NLP classification challenge.
• Performed feature transformation, dimensionality reduction, and hyperparameter tuning to increase model accuracy.
• Algorithms: ID3 decision tree, mistake‑bound perceptron, MLE/MAP logistic regression, objective‑minimization SVM, ensemble methods (bagging, AdaBoost, SVM‑over‑trees)
• Keywords: Python, Decision Tree, Perceptron, Logistic Regression, SVM, Ensembles