Overview
This course teaches machine learning in JavaScript without relying on libraries. The learning outcomes include gaining a deep understanding of machine learning systems and enhancing software development skills. The course covers topics such as working with data, feature extraction, model evaluation, and Python & SkLearn. The teaching method involves hands-on coding with assignments to be submitted for feedback. The intended audience for this course is individuals interested in understanding the inner workings of machine learning and improving their software development skills.
Syllabus
CHART TUTORIAL mentioned at : https://youtu.be/n8uCt1TSGKE
⌨️ Introduction
⌨️ Drawing App
⌨️ Homework 1
⌨️ Working with Data
⌨️ Data Visualizer
⌨️ Homework 2
⌨️ Feature Extraction
⌨️ Scatter Plot
⌨️ Custom Chart
⌨️ Homework 3
⌨️ Nearest Neighbor Classifier
⌨️ Homework 4 better box
⌨️ Data Scaling
⌨️ Homework 5
⌨️ K Nearest Neighbors Classifier
⌨️ Homework 6
⌨️ Model Evaluation
⌨️ Homework 7
⌨️ Decision Boundaries
⌨️ Homework 8
⌨️ Python & SkLearn
⌨️ Homework 9
Taught by
freeCodeCamp.org