Machine Learning

Intermediate

Go beyond the basics — build, train, and evaluate ML models with hands-on projects using Python and scikit-learn.

3 Lessons~80 minIn BrowserNo Setup

# ML with scikit-learn

from sklearn.linear_model

import LogisticRegression

model = LogisticRegression()

model.fit(X_train, y_train)

Course Modules

3 total lessons

Core concepts every ML practitioner needs to know

3 lessons

What is Machine Learning?

Types of ML, the learning pipeline, and real-world applications

Supervised Learning

Classification and regression — train your first model with scikit-learn

Neural Networks

Understand layers, activation functions, and build a simple neural network