PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Common machine learning algorithm implementations

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!

MLPro - The Integrative Middleware Framework for Standardized Machine Learning in Python

IBM Data Science Professional Certificate

Exercises on Machine Learning

Training machine learning models through supervised learning, utilizing PCA for visualization, and employing the k-means clustering algorithm for unsupervised learning on unlabelled data.

This repository contains code for building a machine learning model to predict NFL players' selection for the Pro Bowl based on player statistics from the NFL Pro Bowl 2022 dataset. Three different supervised learning models, including one linear and two non-linear models, are implemented.

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Simple two hidden layer neural network implementation

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

IU Lessons

IU Lessons

Machine Learning From Scratch. Bare bones implementations of machine learning models and algorithms. Aims to cover everything from linear regression to deep learning.

An R package pipelining omics-based cancer survival analysis

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

Reinforcement Learning + Imitation Learning based approach to AI Driving Olympics

Khiops is an AutoML suite for supervised and unsupervised learning

Group Project using Supervised Learning and Neural Network Models

Coursework on Introduction to Machine Learning - CS M146