| 1 |
T |
8/26/2025 |
Intro, data matrix, samples, features |
|
R |
8/28/2025 |
Vector and Matrix Operations |
| 2 |
T |
9/2/2025 |
More vector and matrix operations |
|
R |
9/4/2025 |
Numerical attributes, mean, median, variance |
| 3 |
T |
9/9/2025 |
Multivariate analysis, covariance, correlation |
|
R |
9/11/2025 |
Categorical attributes |
| 4 |
T |
9/16/2025 |
Data Analysis with Python |
|
R |
9/18/2025 |
Probability, conditional probability, Bayes theorem |
| 5 |
T |
9/23/2025 |
Probabilistic view of data, distributions, and histograms |
|
R |
9/25/2025 |
Frequent Itemset Mining |
| 6 |
T |
9/30/2025 |
In-class mid-term |
|
R |
10/2/2025 |
Association Rules |
| 7 |
T |
10/7/2025 |
Graph data |
|
R |
10/9/2025 |
Graph mining |
| 8 |
T |
10/14/2025 |
(break) |
|
R |
10/16/2025 |
(break) |
| 9 |
T |
10/21/2025 |
Clustering |
|
R |
10/23/2025 |
k-means clustering |
| 10 |
T |
10/28/2025 |
Regression and linear models |
|
R |
10/30/2025 |
Gradient descent |
| 11 |
T |
11/4/2025 |
Classification and Logistic Regression |
|
R |
11/6/2025 |
Mid-term (out of class) |
| 12 |
T |
11/11/2025 |
Neural networks, limitations of linear models |
|
R |
11/13/2025 |
Neural networks 2 |
| 13 |
T |
11/18/2025 |
Text mining, text features |
|
R |
11/20/2025 |
Application of text-mining: Sentiment analysis |
| 14 |
T |
11/25/2025 |
(buffer) |
|
R |
11/27/2025 |
(break) |
| 15 |
T |
12/2/2025 |
Text-based embeddings |
|
R |
12/4/2025 |
Large language models? |