Syllabus: 

1. Big data analysis- Introduction 

2. Generalization of Linear Regression- Ridge Regression, LASSO, Principal Components Regression Partial least squares Dimension Reduction-Generalization of Principal Component Analysis- Independent Component Analysis (ICA) 

3. Generalization of Linear Discriminant Analysis- Two groups: unknown distributions, Nearest neighbor technique

4. Evaluating classifiers: ROC Curves. Tree based methods- Classification and Regression Trees (CART). 

5. Cosmic Microwave Background: Anisotropy, Multiple Testing- Higher Criticism Statistic.

6. Lab in R

Guide: Saikat Kar (Feel free to connect)

Duration: 1 month (8 classes)

Time: 7:00 PM - 9:00 PM IST (Preferable)

Fees: INR 1250 INR 150-250 per class*

Registration Link: click here 

Note:

• *Fees is negotiable based on batch size. Conditions applied.

• 75% Attendance is mandatory for all. Who will not attend he/she need to check the recording and can clear doubts in next class.

• We will provide certificate if you are able to pass the final assessment with 80% marks.

• For more details drop a mail to given mail id by keeping the subject line as Query_ACS_105. Please expect a response within 24 hours.