A collection of essential machine learning algorithms implemented from scratch and with libraries. Ideal for students and beginners to understand core ML concepts through hands-on examples.

This project performs sentiment analysis on IMDB movie reviews using Natural Language Processing (NLP). It classifies reviews as positive or negative and compares the performance of multiple machine learning models. Models used include Logistic Regression, Naive Bayes, SVM, and Random Forest.