KARIM ABOELAZM's Projects
Config files for my GitHub profile.
This code for day 0
Login-system-using-cpp
The Udemy Machine Learning (ML) course teaches the implementation of some ML algorithms from A-Z literally.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time we dive deep into Machine Learning. It is structured the following way:
Machine Learning A-Z Course in Python Language
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
A roadmap for getting started with Machine Learning
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Deploy ML models with FastAPI, Docker, and Heroku
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
πKart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by β¨ this repository.
Machine learning algorithms coded from scratch
This Page Is For Me and My Projects