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The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented... Read more

Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features Discover best practices for engineering and maintaining OpenCV projects Explore important deep learning tools for image cla... Read more

A document covering machine learning basics. 🤖📊

python notebooks for revising machine learning basics

A repository containing basic machine learning algorithms and examples. This project covers linear regression, decision trees, and clustering techniques using Python and scikit-learn.

Basics of Machine learning end to end input data

There are many good resources for learning Git. (Here's an excellent online book, and this is my videos series introducing Git and GitHub.) But once you've learned the basics, it can be hard to remember which commands to use to execute the most common tasks. I went searching for a Git reference ... Read more

Contains all the basics of Machine Learning. Code in Python

Machine Learning Basics - Linear Regression - K Nearest Neighbor - SVM - K Means