100 Days of ML Coding

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

School of AI 北京

Software to look for interrelationships between constants and find formulas for number sequences

Introduction to the concept of Generative Adversarial Networks (GANs) and the promising future

My summary for "Gradient Descent"

Coding Assignments for Siraj Raval's course of the same name

Homework assignments for Siraj Raval's exclusive MOOC: Make Money With Machine Learning

This repository contains the materials that I have been teaching as the dean at school of AI.

Code that list all the tweets and their sentiment analysis result that are related to any tag or word.

Data Lit is is a 3 month course designed to help absolute beginners become proficient in Data Science. Each week offers lessons on Data Science fundamentals applied to real-world problems that Data Scientists help solve. After completing this course, start applying for jobs, doing contract work, start your own data science consulting group, or j…

Log of Siraj Raval's 100 Days of ML Code Challenge

Jupyter Notebook Tutorials for Siraj Raval's Intro to Deep Learning Lectures

Introductory approach to neural networks, as presented by Siraj Raval, emulating an XOR in python using only numpy

Some mini projects using python with reference from Siraj Raval Youtube channel