WEEK01
THE FOUNDATIONS
Start with the foundations
Practical math, linear regression, and gradient descent. Understand what the model is actually learning.
SESSIONS 1—2SMALL COHORT. BIG QUESTIONS.
Don’t just run
the model.
Understand it.
Build your first models from scratch. Learn why they work, where they fail, and how to evaluate them—with Ramanand and a small group of learners.
Learn live with RamanandBasic Python → practical machine learning
LINEAR REGRESSION
A little less guesswork.
Observations Model predictionIllustrative data
Initial guessCloser fit
Smaller gaps mean lower error on these points. Testing on unseen data comes next.
LESS THEORY IN ISOLATION.MORE “NOW I GET IT.” ↗
01 / THE FORMAT4 weeks. 8 live sessions.Proposed: weekends, 6:30–8:30 PM IST
02 / THE COHORT20 curious minds.Basic Python · Any college branch
03 / THE INVESTMENT₹1,999 planned fee.Batches start on the 1st or 15th
A CLEAR PATH THROUGH THE FUNDAMENTALS
Four weekends. One connected learning journey.
WEEK02
THE REALITY CHECK
Make predictions you can trust
Logistic regression, preprocessing, train/test splits, and choosing meaningful evaluation metrics.
SESSIONS 3—4WEEK03
THE TOOLKIT
Expand your toolkit
Decision trees, random forests, clustering, and PCA. Compare different approaches to the same data.
SESSIONS 5—6WEEK04
THE BIG PICTURE
Bring it all together
SVMs, model selection, and an end-to-end case study. Discuss limitations and next steps.
SESSIONS 7—8
RAMANAND / INSTRUCTORYOUR INSTRUCTOR
Learn with Ramanand.
I teach Data Structures, Algorithms, and Machine Learning. My approach is to connect the intuition with the implementation: understand an idea, write the code, and examine the result.
BEFORE YOU JOIN
Find out if this is your next step.
How much Python should I know?
You should be able to use variables, loops, lists, and functions. Familiarity with notebooks helps. Basic algebra is enough to start; practical ML math is part of the curriculum.
Do I need to take DSA first?
No. The ML cohort stands on its own. Students from any branch are welcome if they meet the Python prerequisites.
When does the next batch begin?
Batches start on the 1st or 15th of each month. The proposed schedule is Saturday and Sunday, 6:30–8:30 PM IST, for four weeks. Use the inquiry form to ask which upcoming start date has availability.
Are recordings or personal reviews included?
The current offer is 8 live teaching sessions. Recording availability and individual feedback arrangements have not been confirmed; ask us before enrolling if either is essential to you.
Will this guarantee an internship or job?
No. This is a foundational learning cohort. The goal is to help you understand, implement, and evaluate ML models; career outcomes depend on continued practice and many other factors.
ALSO IN PLANNING
DSA Foundation
₹999 planned fee · Up to 100 students · Starts on the 1st or 15th
LET’S START WITH A CONVERSATION
Curious about the next ML batch?
Tell us what you know and what you want to learn.
Run a college club? Get in touch to discuss a session for your members.