Course Schedule

Introduction

Sep 9

Overview: assignment 00

Sep 11

Git worksheet: lab 00

Sep 16

Intro to DS + Distance & Similarity: assignment 01

Clustering

Sep 18

Sep 23

K-means++ + Hierarchical Clustering: assignment 02

Sep 25

Density Based Clustering

Sep 30

Soft Clustering: assignment 03

(Optional)

Clustering Aggregation: worksheet

Singular Value Decomposition

Oct 2

Singular Value Decomposition

Oct 7

SVD cont’d + Latent Semantic Analysis: assignment 04

Classification

Oct 9

Intro to Classification + KNN

Oct 14

NO CLASS

Oct 15

MONDAY SCHEDULE Decision Trees: assignment 05

Oct 16

Naive Bayes, Model Evaluation & Ensemble

Oct 21

Support Vector Machines

Oct 23

Oct 28

MIDTERM REVIEW + Support Vector Machines (Non-Linear)

assignment 06: MIDTERM END

(Optional)

Recommender Systems: worksheet

Regression

Oct 30

Linear Regression

Nov 4

Linear Model Evaluation: assignment 07

Nov 6

Linear Model Evaluation

Nov 11

Logistic Regression + Gradient Descent: assignment 08

Neural Networks

Nov 13

Fundamentals of Neural Networks

Nov 18

Day in the Life of a DS / SWE: assignment 09

Nov 20

Advanced Neural Networks

Nov 25

Review Session: assignment 10

Nov 27 - Dec 1

THANKSGIVING

Other Topics

Dec 2

EXTRA TOPICS: assignment 11

Dec 4

EXTRA TOPICS

Dec 9

Ask Me Anything