DataCamp Project Solutions

Bootcamp to learn the basics for Machine Learning

♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

Latest Data Science Materials

This repository contains study materials in the form of presentations (and Python codes) to various Machine Learning techniques and also contains some sample data to practice these algorithms

A carefully curated collection of machine learning notes, resources, projects, and datasets designed to guide you through the ML landscape effectively.

模仿 TensorFlow 写的极简深度学习框架，仅供练习目的

Welcome to the Machine Learning Roadmap! This comprehensive guide will take you from the basics to becoming proficient in machine learning. Whether you're a beginner or looking to expand your skills, this roadmap will provide you with a structured path to follow.

Machine Learning Workshop

Exercises  |  Machine Learning Crash Course  |  Google Developers

coding along with ML course from eduonix, doing real projects

统计学习方法-python练习

Implementation of machine learning algorithms from scratch using python.

Machine Learning project built to practice and improve coding and deployment skills using python, scikit-learn, jupyter-notebooks, and some visualization packages.

Machine learning algorithm solves multi-class classification problem of video games content rating (without playing it). Quantitative Methods for Computer Science exam project.

ML Algorithm implementation from scratch for practice

A hands-on approach to learning machine learning, with practical examples to grasp essential concepts.

The repository contains exercises on Machine Learning algorithms in R, using RStudio. Used to dive into ML, data preprocessing, data visualisation, and data exploration.

Machine Learning A-Z™ Hands-On Python & R In Data Science

Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.