This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Gorgonia is a library that helps facilitate machine learning in Go.

Fast and Easy Infinite Neural Networks in Python

Implementation of basic ML algorithms from scratch in python...

Some experiments about Machine Learning

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Lesson material on data science and machine learning topics/concepts

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

深度学习常用优化方法详解

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

Implementing Multiple Layer Neural Network from Scratch

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

My workshop on machine learning using python language to implement different algorithms

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning