Machine Learning

Python & scikit-learn · 11 lectures

Machine Learning

A beginner-to-intermediate tour of machine learning — what it is, the Python tools for it, and the core algorithms (regression, classification, clustering), taught with runnable scikit-learn code. For students comfortable reading basic Python.

Published 11 / 11 Early access
Curriculum 4 categories Fundamentals to projects
Total runtime ~3 hours of video
Start with Lecture 001 About this course

Lecture index 11 total

The path from fundamentals to full projects.

Category 1

ML Foundations

3 lectures · 48 min 0/3 done
  1. 001 What Is Machine Learning? Types of ML Next 18 min
  2. 002 Math & Programming Prerequisites Next 14 min
  3. 003 Python ML Libraries Tour Next 16 min

Category 2

Data & Core Algorithms

4 lectures · 80 min 0/4 done
  1. 004 Data Preprocessing Next 18 min
  2. 005 Regression: Linear & Logistic Next 22 min
  3. 006 Classification Algorithms Next 24 min
  4. 007 Clustering: K-Means Next 16 min

Category 3

Evaluating & Improving Models

2 lectures · 38 min 0/2 done
  1. 008 Model Evaluation Next 20 min
  2. 009 Overfitting, Underfitting & Regularization Next 18 min

Category 4

Deep Learning & Wrap-Up

2 lectures · 30 min 0/2 done
  1. 010 Intro to Neural Networks & Deep Learning Next 18 min
  2. 011 Wrap-Up: Common Pitfalls & Where to Go Next Next 12 min