Machine Learning

This is the WIP of "No Black Box Machine Learning Course – Learn Without Libraries" from freeCodeCamp.org. The course is online on YouTube. Course created by @Radu

• Part 1 : No Black Box Machine Learning Course
• Part 2 : Machine Learning & Neural Networks

This repository does not store the results, only the RAW files. To generate the data, you need to go under node, then:

• npm install canvas
• node dataset_generator.js

GITHUB LINKS

• 💻 Drawing App: https://github.com/gniziemazity/drawing-app
• 💻 Data: https://github.com/gniziemazity/drawing-data
• 💻 Custom Chart Component: https://github.com/gniziemazity/javascript_chart
• 💻 Full Course Code (In Parts): https://github.com/gniziemazity/ml-course

PREREQUISITES

• 🎥 Interpolation: video
• 🎥 Linear Algebra: video
• 🎥 Trigonometry: video

TOOLS

• 🔧 Visual Studio Code: https://code.visualstudio.com/download
• 🔧 Google Chrome: https://www.google.com/chrome
• 🔧 Node JS: https://nodejs.org/en/download (make sure you add 'node' and 'npm' to the PATH environment variables when asked!)