Interactive TrackBeginner

Machine Learning with scikit-learn

Master supervised and unsupervised learning by building real models with scikit-learn - from linear regression and decision trees to clustering, pipelines, and model evaluation.

Instructor:Sagnik Chakraborty

Hands-on Coding Lessons

0 hours

147 Modules

0 Learners

Certificate of Completion

Official Certification

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Course Syllabus

Why this track?

Hands-on coding. No boring videos. Write real code from day one in our integrated IDE.
Instant feedback. Submit your code and get immediate results against our hidden test cases.
Step-by-step logic. Build your algorithmic thinking progressively with carefully curated problems.

Complete Curriculum

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Machine Learning with scikit-learn

Certificate of Completion

Official Certification

Course Syllabus

Why Machine Learning

The Estimator API

Linear Regression

Classification

Decision Trees

Ensembles

Preprocessing

Evaluation

SVM and Naive Bayes

Clustering

Dimensionality

Text ML

Bias, Variance, Debugging

Persistence and Honesty

Bundled Data Workflows

Capstone End-to-End

Why this track?

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