Karma of Humans is AI

Machine Learning Notebooks

A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

This repository contains a collection of machine learning models and notebooks, primarily focused on the housing dataset. It includes implementations of linear regression, logistic regression, feature scaling techniques, and gradient descent using scikit-learn. Additionally, it features learnings from the University of Washington's ML Specializatio

Mean Normalization and Data Separation is a project exploring feature scaling and data preparation techniques in machine learning. It includes a detailed implementation of mean normalization to distribute data evenly around zero and covers methods for separating datasets for training and testing models. Presented in an interactive Jupyter Notebook.