Syllabus:
Big data analysis- Introduction
Generalization of Linear Regression- Ridge Regression, LASSO, Principal Components Regression Partial least squares Dimension Reduction-Generalization of Principal Component Analysis- Independent Component Analysis (ICA)
Generalization of Linear Discriminant Analysis- Two groups: unknown distributions, Nearest neighbor technique
Evaluating classifiers: ROC Curves. Tree based methods- Classification and Regression Trees (CART).
Cosmic Microwave Background: Anisotropy, Multiple Testing- Higher Criticism Statistic.
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.