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Machine Learning

17 lessons · 100% free
1Foundations
What is Machine Learning?Types of Machine LearningThe ML WorkflowFeatures (X) and Labels (y)Train / Test Split
2Supervised Learning
Linear Regression: Predict a NumberLogistic Regression: Predict a CategoryK-Nearest Neighbours (KNN)Decision TreesRandom Forest
3Unsupervised Learning
K-Means ClusteringPCA: Dimensionality Reduction
4Evaluate & Improve
Metrics: Accuracy, Precision, RecallOverfitting vs UnderfittingCross-ValidationFeature Scaling
5Project
Project: Build a Model End to End
AI

Machine Learning — ML with Python

Train models that learn from data using Python and scikit-learn — the core skill behind modern AI.

17 lessons5 chaptersStart: What is Machine Learning? →

1Foundations

What is Machine Learning?25 minTypes of Machine Learning25 minThe ML Workflow30 minFeatures (X) and Labels (y)30 minTrain / Test Split35 min

2Supervised Learning

Linear Regression: Predict a Number40 minLogistic Regression: Predict a Category40 minK-Nearest Neighbours (KNN)35 minDecision Trees35 minRandom Forest35 min

3Unsupervised Learning

K-Means Clustering40 minPCA: Dimensionality Reduction35 min

4Evaluate & Improve

Metrics: Accuracy, Precision, Recall40 minOverfitting vs Underfitting35 minCross-Validation35 minFeature Scaling35 min

5Project

Project: Build a Model End to End120 min
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