100 Days of ML (CampusX)

About this course

100 Days of ML is India's most comprehensive free machine learning series, created by Nitish Singh of CampusX. Taught in Hindi and English, this 80-hour journey covers everything from foundational statistics and Python to neural networks and real-world ML projects—no paywalls, no shortcuts.

CampusX has built a reputation for making complex tech accessible to Indian learners. This playlist condenses what might take months of scattered tutorials into a structured, step-by-step path that thousands have followed to land their first ML roles.

What you'll learn

• Master Python for data science, including NumPy, Pandas, and data manipulation techniques
• Build intuition in statistics, probability, and linear algebra—the math behind ML
• Train, evaluate, and tune classification and regression models (logistic regression, decision trees, random forests, SVM)
• Understand and implement neural networks and deep learning fundamentals
• Handle real datasets: cleaning, exploratory analysis, feature engineering, and dealing with imbalanced data
• Deploy models and understand the ML pipeline from raw data to production insights
• Apply your knowledge through hands-on projects that mirror actual industry problems

Who this is for

If you're curious about machine learning but intimidated by the jargon and cost, this course is built for you. It works whether you're learning alone, preparing for a job switch, or building a portfolio to land your first ML internship.

• College students — build ML expertise while in school, stand out in campus placements, and start freelancing early
• Early-career professionals — transition into data science or ML roles without expensive bootcamps; learn at your own pace alongside your current job

Prerequisites

None—this course is beginner-friendly. You'll pick up Python as you go; basic comfort with math (high school algebra) helps but isn't essential. Curiosity and patience matter more than prior coding experience.

Why this matters for Indian learners

Machine learning jobs in India are growing fast. Companies across fintech (Razorpay, Paytm), e-commerce (Flipkart, Amazon India), and startups actively hire ML engineers—and salaries range from ₹6–12 lakhs annually for junior roles, scaling to ₹20+ lakhs with experience.

This course gives you the foundational skills employers expect without requiring you to spend ₹2–5 lakhs on bootcamps. Hindi-English instruction matters too: you can learn in whichever language clarifies concepts best, a luxury not always available in English-only courses.

Frequently asked questions

Is this course really free?

Yes. It's hosted on YouTube and entirely free—no hidden charges, no premium tier. All 100 days of content, all videos, all notebooks are accessible at zero cost.

How long will it take to complete?

The course is 80 hours of video. If you dedicate 10–12 hours per week (roughly 2 hours on weekdays, 3 hours on weekends), you'll finish in 6–8 weeks. Many learners take longer and that's fine—ML is dense, and taking time to practice is better than rushing.

Will I get a certificate?

No formal certificate is issued. However, the projects and hands-on work you complete build a portfolio that matters far more to employers than a certificate. Share your GitHub repos and project writeups—that's your real proof.