Schedule for Section A1

The schedule is subject to change. Check back often. Notes/codes/slides links are placeholders for future lectures. They will be updated no later than the lecture date.

Event

Date

Description

Course Material
Semester Begins

09/03/2024 08:00
Tuesday

Semester and 1st 7 week session begins
Lecture

09/03/2024
Tuesday

MSDS Student Orientation Session
Discussion

09/04/2024
Wednesday

Optional discussion.
[slides]

Helpful other resources here.
Lecture

09/05/2024
Thursday

01 - Course Overview and Git
[C1 Recording]
Suggested Readings and Slides:
- Course Overview
- Git Slides
Lecture

09/10/2024
Tuesday

02 - Intro to Pandas and SciKit-Learn
[C1 Recording]
Suggested Readings and Slides:
- Pandas Slides
- Scikit-Learn Slides
Assignment

09/10/2024
Tuesday

Assignment - 1 (Pandas and Scikit-Learn) released!

[Assignment - 1 (Pandas and Scikit-Learn)]
Discussion

09/11/2024
Wednesday

Pandas and Scikit-Learn Example
[Open in Colab] [Jupyter Notebook] [CSV data file]
Lecture

09/12/2024
Thursday

03 - A1 Spark Project Pitch Day
Suggested Reading:
- Section A1 pitch slides
Lecture

09/17/2024
Tuesday

04 - Probability and Linear Algebra Refresher
[C1 Recording]
Suggested Readings:
- Probability Slides
- Linear Algebra Slides
Discussion

09/18/2024
Wednesday

Linear Algebra and Probability
[Open in Colab] [Jupyter Notebook] [CSV data file]
Assignment

09/18/2024
Wednesday

Assignment - 2 (Linear Algebra) released!

[Assignment - 2 (Linear Algebra)]
Due

09/18/2024 23:59
Wednesday

Assignment1 due
Lecture

09/19/2024
Thursday

05 - Distance, Similarity Functions, and Time Series
[C1 Recording]
Suggested Readings:
- Distances and Time Series
Assignment

09/20/2024
Saturday

Assignment - 3 (Probability, Statistics, and Distances) released!

[Assignment - 3 (Probability, Statistics, and Distances)]
Lecture

09/24/2024
Tuesday

06 - Clustering I: k-Means
[C1 Recording]
Suggested Readings:
- k-means clustering
Discussion

09/25/2024
Wednesday

K-Means Clustering
[Open in Colab] [Jupyter Notebook]
Due

09/25/2024 23:59
Wednesday

Assignment2 due
Lecture

09/26/2024
Thursday

07 - Clustering II: In Practice
[A1 Recording] [C1 Recording]
Suggested Readings:
- Clustering in Practice
Assignment

09/27/2024
Saturday

Assignment - 4 (K-Means Clustering) released!

[Assignment - 4 (K-Means Clustering)]
Due

09/27/2024 23:59
Friday

Assignment3 due
Lecture

10/01/2024
Tuesday

08 - Clustering III: Hierarchical Clustering
[A1 Recording] [C1 Recording]
Suggested Readings:
- Hierarchical Clustering
Discussion

10/02/2024
Wednesday

Hierarchical Clustering and GMMs
[Open in Colab] [Jupyter Notebook]
Lecture

10/03/2024
Thursday

09 - Clustering IV: GMM and Expectation Maximization
[A1 Recording] [C1 Recording]
Suggested Readings:
- GMM Slides
Due

10/04/2024 23:59
Friday

Assignment4 due
Assignment

10/07/2024
Tuesday

Assignment - 5 (Hierarchical Clustering and GMMs) released!

[Assignment - 5 (Hierarchical Clustering and GMMs)]
Lecture

10/08/2024
Tuesday

10 - Classification: Decision Trees and RandomForests
[A1 Recording] [C1 Recording]
Suggested Readings:
- Decision Trees and Random Forests
Discussion

10/09/2024
Wednesday

Hierarchical Clustering and GMMs
[Open in Colab] [Jupyter Notebook]
Lecture

10/10/2024
Thursday

11 - Classification - k-Nearest-Neighbors
[A1 Recording] [C1 Recording]
Suggested Readings:
- Classification – kNN
Due

10/14/2024 23:59
Monday

Assignment5 due
No Class

10/15/2024 08:00
Tuesday

Substituting Monday schedule. No class.
Discussion

10/16/2024
Wednesday

KNN
[Open in Colab] [Jupyter Notebook]
Assignment

10/16/2024
Thursday

Assignment - 6 (K-nn, Decision Trees, & Random Forests) released!

[Assignment - 6 (K-nn, Decision Trees, & Random Forests)]
Lecture

10/17/2024
Thursday

13 - SVD Low Rank Approximations
[A1 Recording] [C1 Recording]
Suggested Readings:
- SVD – Low Rank Approximation
1st 7 Week Session Ends

10/18/2024 17:00
Friday

First 7 week session ends
2nd 7 Week Session Begins

10/21/2024 08:00
Monday

2nd 7 week session begins
Lecture

10/22/2024
Tuesday

14 -- Dimensionality Reduction - PCA and tSNE
[A1 Recording] [C1 Recording]
Suggested Readings:
- Dimensionality Reduction and PCA
Lecture

10/24/2024
Thursday

15 -- Linear Regression
[A1 Recording] [C1 Recording]
Suggested Readings:
- Linear Regression
Due

10/24/2024 23:59
Thursday

Assignment6 due
Assignment

10/25/2024
Saturday

Kaggle Midterm Challenge released!

[Kaggle Midterm Challenge]
Lecture

10/29/2024
Tuesday

16 -- Logistic Regression and Regularization
[A1 Recording] [C1 Recording]
Suggested Readings:
- Logistic Regression
- Regularization
Discussion

10/30/2024
Wednesday

Linear Regression
[Open in Colab] [Jupyter Notebook]
Discussion

10/30/2024
Wednesday

Logistic Regression & Regularization
[Open in Colab] [Jupyter Notebook]
Lecture

11/05/2024
Tuesday

18 -- Neural Networks I
[A1 Recording] [C1 Recording]
Suggested Readings:
- Neural Networks I
Lecture

11/07/2024
Thursday

19 -- Neural Networks II
[A1 Recording] [C1 Recording]
Suggested Readings:
- Neural Networks II
Due

11/08/2024 23:59
Friday

Midterm due
Lecture

11/12/2024
Tuesday

20 -- Neural Networks III
[A1 Recording] [C1 Recording]
Suggested Readings:
- Neural Networks III
Lecture

11/12/2024
Tuesday

22 -- Networks I
[A1 Recording] [C1 Recording]
Suggested Readings:
- Networks I
Lecture

11/14/2024
Thursday

23 -- Networks 2
[A1 Recording] [C1 Recording]
Suggested Readings:
- Networks II
Lecture

11/19/2024
Tuesday

21 -- Recommender Systems
[A1 Recording] [C1 Recording]
Suggested Readings:
- Recommender Systems
Lecture

11/26/2024
Tuesday

24 -- Time Series
[A1 Recording] [C1 Recording]
Suggested Readings:
- TBD
Start of Thanksgiving Recess

11/27/2024 08:00
Wednesday

Thanksgiving recess begins -- Have a great break!
End of Thanksgiving Recess

12/01/2024 17:00
Sunday

Thanksgiving recess ends
Lecture

12/03/2024
Tuesday

25 -- RNNs
[A1 Recording] [C1 Recording]
Suggested Readings:
- TBD
Last day of classes

12/10/2024 17:00
Tuesday

Last day of classes.