Build a strong foundation in Statistics & Machine Learning! Learn probability, hypothesis testing, and inferential statistics, then advance to regression, classification, clustering,
and AI-driven insights. Gain hands on experience applying ML algorithms to real world datasets and making data driven decisions!
Week 14Maths & Applied Statistics
- Introduction to Statistics
- Descriptive Statistics
- Hypothesis Testing
- AB Testing
- Fundamentals of Probability
Week 15Machine Learning - I
- What is ML?
- Applications of Machine Learning
- Linear Regression
- Decision Trees
- Random Forests and Ensemble Methods
Week 16Machine Learning - II & AI
- Clustering algorithms
- K means clustering
- Dimensionality Reduction
- Cross validation
- K-fold validation
- Leave one out validation
- Model selection
- Evaluation metrics and ROC curves
- AI for data analytics
Project

HDFC Credit Card Fraud Detection
You are a data analyst at HDFC tasked with developing a credit card fraud detection system using machine learning to enhance transaction security and prevent fraudulent activities.
ML & AI Jam Session
Ready to dive into the future of data analytics? In this jam session, you'll explore machine learning and AI applications, and gain tips on how to shine in interviews by showcasing your ability to implement these cutting-edge technologies.