CohortLab — Learn Together, Ship Together

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

Cohort Fee (paid after selection)

₹4,999

Machine Learning Cohort

About this Cohort

What You'll Achieve

Curriculum — 8 Classes