A hands-on approach to learning machine learning, with practical examples to grasp essential concepts.

This Repository Contains all the Code and Other ConceptNotebooks that I Have Written While Learning Machine Learning from Hands on ML Book.

Machine Learning from Areon

Jupyter Implementation of HandsOnMachineLearning

This project implements a simple sentiment analysis classifier using logistic regression, trained using manual gradient descent, without relying on any machine learning libraries like scikit-learn or TensorFlow. It demonstrates end-to-end model development from raw text to evaluation.

Developed an app to predict whether food reviews are positive or negative using linear SVM on amazon fine food review dataset and deployed it on localhost

This repository contains projects I do as a part of some courses or when I am following some literature.

2022.06 핸즈온머신러닝 공부