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Intermediate
Machine Learning Cohort
Build real ML systems from scratch — paid track
Start Date
July 5, 2026
Duration
1 month (4 weeks)
Schedule
Sat & Sun · 6:30 PM – 8:30 PM IST
Seats Available
20 seats
Total Classes
8 × 120 minutes
Level
Intermediate
About this Cohort
The core value cohort. 8 weekend sessions covering ML mathematics, algorithm implementation from scratch, real-world datasets, and model evaluation. Designed for students who have completed or are comfortable with the Foundation Track.
What You'll Achieve
- ✓Understand ML mathematically and intuitively
- ✓Implement algorithms from scratch
- ✓Work with real datasets
- ✓Understand model evaluation and tuning
- ✓Ready for real-world ML work
Curriculum — 8 Classes
Class 1Math for ML (Practical)
- Linear algebra basics
- Probability intuition
- Gradients (conceptual)
Class 2Linear Regression (From Scratch)
- Cost function
- Gradient descent
- Implementation without libraries
Class 3Logistic Regression
- Classification concepts
- Sigmoid function
- Decision boundaries
Class 4Feature Engineering + Evaluation
- Data preprocessing
- Overfitting/underfitting
- Metrics: accuracy, precision, recall
Class 5Decision Trees + Random Forest
- Tree splitting logic
- Entropy and Gini
- Ensemble learning
Class 6Unsupervised Learning
- K-Means clustering
- PCA
- Clustering intuition
Class 7SVM + Model Selection
- Margin concept
- Kernel trick (intuitive)
- Model comparison
Class 8ML in Real World + DL Intro
- End-to-end ML pipeline
- Case study
- Intro to deep learning (bridge to next cohort)
Cohort Fee (paid after selection)
₹2,999