Course Schedule

Introduction

Sep 9

Overview: assignment 00

Sep 11

Git - worksheet: lab 00

Sep 16

Git Cont’d + Intro to DS - worksheet: assignment 01

Clustering

Sep 18

K-means - worksheet

Sep 23

K-means++ - worksheet: assignment 02

Sep 25

Hierarchical Clustering + Density Based Clustering - worksheet: lab 02

Sep 30

Soft Clustering - worksheet: assignment 03

(Optional)

Clustering Aggregation: worksheet

Singular Value Decomposition

Oct 2

Singular Value Decomposition - worksheet: lab 03

Oct 7

SVD cont’d + Latent Semantic Analysis - worksheet: assignment 04

Classification

Oct 9

Intro to Classification + KNN - worksheet: lab 04

Oct 14

NO CLASS

Oct 15

MONDAY SCHEDULE Decision Trees - worksheet: assignment 05

Oct 16

Naive Bayes, Model Evaluation & Ensemble - worksheet: lab 05

Oct 21

Support Vector Machines - worksheet

Oct 23

Oct 28

MIDTERM REVIEW

assignment 06: MIDTERM END

(Optional)

Recommender Systems: worksheet

Regression

Oct 30

Linear Regression - worksheet

Nov 4

Linear Model Evaluation - worksheet: assignment 07

Nov 6

Linear Model Evaluation : lab 07 - worksheet

Nov 11

Logistic Regression - worksheet: assignment 08

Nov 13

More Logistic Regression - worksheet: lab 08

Neural Networks

Nov 18

Fundamentals of Neural Networks - worksheet: assignment 09

Nov 20

More Neural Networks: lab 09

Nov 25

NO CLASS

Nov 27 - Dec 1

THANKSGIVING

Other Topics

Dec 2

REVIEW SESSION: assignment 10

Dec 4

EXTRA TOPICS

Dec 9

Ask Me Anything