Complete Machine Learning Playlist (Krish Naik)

About this course

Krish Naik's Complete Machine Learning Playlist is India's most comprehensive free introduction to ML fundamentals. Over 60 hours of video tutorials, you'll work through core algorithms, the mathematics behind them, and hands-on projects that build real skills. Krish has taught hundreds of thousands of Indian learners; this playlist is his definitive beginner-to-intermediate pathway.

What you'll learn

• Supervised and unsupervised learning algorithms—linear regression, logistic regression, decision trees, random forests, and clustering techniques like K-means
• The mathematics underlying ML—probability, statistics, linear algebra, and calculus concepts you need without overwhelming theory
• Data preprocessing and feature engineering—cleaning datasets, handling missing values, scaling, and selecting features that matter
• Model evaluation and validation—cross-validation, confusion matrices, precision/recall, ROC curves, and avoiding overfitting
• Hands-on implementation in Python using scikit-learn, pandas, and NumPy on real datasets
• End-to-end ML projects—from problem definition through model deployment
• Practical intuition for when and why to use different algorithms in real-world scenarios

Who this is for

You're ready for this course if you're curious about AI but haven't built ML models yet. Whether you're exploring a career pivot, preparing for technical interviews, or simply want to understand how modern AI systems work, this playlist meets you where you are.

• College students — build a portfolio project and interview-ready skills for placements at AI-forward tech companies
• Career changers — gain practical ML expertise to move into data science or AI roles without a PhD

Prerequisites

None—this course is beginner-friendly. You'll need basic comfort with Python (variables, loops, functions) and high school math, but Krish teaches the concepts you need as you go. If you're new to Python, spend a week on fundamentals first.

Why this matters for Indian learners

Machine learning skills are in acute demand across India's tech sector. Companies like Flipkart, Amazon India, and NASSCOM-listed startups actively hire ML engineers at salaries ranging from ₹8–15 lakh annually for junior roles. Every bank, fintech, and e-commerce company in India is building ML pipelines; this course gives you the foundation to compete for those roles.

Learning in Hindi and English—the languages Krish uses—removes friction for learners across India. You're not learning ML through a foreign accent or unfamiliar cultural context; you're learning from an educator who speaks your language and understands the Indian tech job market.

Frequently asked questions

Is this course really free?

Yes. Every video is free on YouTube. There's no hidden paywall, no premium tier, no certificate upsell. Krish built this playlist as a gift to learners.

How long will it take to complete?

The full playlist is 60 hours of video. If you watch 5 hours per week, you'll finish in about 12 weeks. Most learners spend longer—pausing to code along, re-watching complex sections, and building projects—which is where real learning happens. Budget 3–4 months to feel confident.

Will I get a certificate?

No formal certificate is issued, but you'll have something better: completed projects for your portfolio and genuine skills you can demonstrate in interviews or on the job.