Data Prep for Machine Learning: Normalization. Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a ...

Data normalization and scaling are essential steps in data cleaning and preprocessing, especially for machine learning and data analysis. However, choosing the right scaling method for your data ...

A comprehensive repository dedicated to recreating popular machine learning models from scratch in Python, designed to facilitate deep understanding through practical examples. Explore the ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Coursera/Stanford Machine Learning course assignments in Python. Assignments for Andrew Ng's Machine Learning course implemented in Python without solutions in line with the Coursera Code of Honor.The ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).