AI & Machine LearningIntermediateFREE

Machine Learning Fundamentals

Learn how machines learn from data. Covers the core supervised and unsupervised algorithms, model evaluation, overfitting, and ensemble methods. By the end you will be able to train, evaluate, and improve your own ML models using scikit-learn.

2 hours

17 lessons

Certificate included

Instructor

JP Instructor

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This course includes:

2 hours of comprehensive lessons
Hands-on coding exercises and challenges
Code examples with syntax highlighting
Certificate of completion
Lifetime access to all content
Mobile-friendly, works offline

Course Curriculum

Module 1: Supervised Learning

Learn how models learn from labelled examples to make predictions.

4 lessons

What is Supervised Learning?

Preview

4 minutes

Preview Lesson

Linear Regression

4 minutes

Classification and Logistic Regression

3 minutes

Quiz: Supervised Learning

10 minutes

Module 2: Unsupervised Learning

Discover patterns in data without labels.

4 lessons

What is Unsupervised Learning?

4 minutes

K-Means Clustering

4 minutes

Dimensionality Reduction with PCA

4 minutes

Quiz: Unsupervised Learning

10 minutes

Module 3: Model Evaluation

Know whether your model actually works — and why it might fail.

4 lessons

Train/Test Split and Cross-Validation

4 minutes

Classification Metrics

4 minutes

Overfitting and Regularisation

4 minutes

Quiz: Model Evaluation

10 minutes

Module 4: Decision Trees and Ensemble Methods

From single trees to powerful ensembles — the algorithms behind most Kaggle winners.

4 lessons

Decision Trees

3 minutes

Random Forests

4 minutes

Gradient Boosting

5 minutes

Quiz: Decision Trees and Ensemble Methods

10 minutes

Module 5: Capstone Project: Spam Classifier

Build a complete spam classifier from scratch using pure Python. This multi-step project brings together everything you have learned in Machine Learning: data representation, feature extraction, classification, model evaluation, and pipeline design.

1 lessons

Build a Spam Classifier

120 minutes

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