Learn Machine Learning in 14 days
Supervised models, evaluation methods, and feature basics.
- Daily plan, 45-60 min a day
- 6 lessons + 18 exercises
- AI tutor included
- No prior coding experience required
- Practice tasks every day
- Build impressive portfolio project
What you will learn
A powered by mentors Beginner plan with structured subtopics, quizzes, and practice tasks.
Machine learning concepts and terminology
Understand models, features, labels, and datasets.
Data prep and feature engineering
Prepare data and create useful features.
Supervised models and training
Train models like regression and classification.
Evaluation and validation
Measure accuracy and avoid data leakage.
Overfitting and model tuning
Tune hyperparameters and reduce overfitting.
Mini project: predictive model
Build a simple predictive model end-to-end.
See the quiz + practice flow
Three answered questions and a filled code task so you know exactly what to expect.
Quiz preview
2/3 correct1. How long is the Machine Learning plan?
Correct2. What level is this Machine Learning plan?
Incorrect3. Which of these appears in the Machine Learning outline?
CorrectCode practice preview
SubmittedFormat a lesson title
Build a helper that formats a lesson label with a padded index and title.
Loved by Lifelong Learners
See how students, professionals, and forward-thinkers are upgrading their minds with Kavka.
“Kavka's ML plan skips the hype and focuses on the fundamentals. I finally understand how to evaluate a model.”
“The practice tasks felt like real work, so the lessons actually stuck.”
“Thirty minutes a day and I was shipping again. The structure keeps me honest.”
Build models that actually work
14 days of supervised learning, feature engineering, and model evaluation — end with a real predictive model.
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