CSCI 307
Data Mining
College of the Holy Cross, Fall 2023

Home | | Schedule | | Resources Schedule i Week Day Date Topic Book Chapter Assignments and Projects 1 T 8/29/2023 Logistics and motivation R 8/31/2023 Introduction to Python hw1 out 2 T 9/5/2023 Data and attributes 1.1 - 1.3 R 9/7/2023 Probabilistic view of data 1.4 3 T 9/12/2023 Numerical attributes 2.1 hw1 due R 9/14/2023 Multivariate analysis 2.2 - 2.4 hw2 out 4 T 9/19/2023 Probability: Normal distribution 2.5 R 9/21/2023 Categorical attributes 3.1, 3.4 hw2 due 5 T 9/26/2023 Probability: Bernouli and Binomial distribution Random variables in Python R 9/28/2023 Dimensionality reduction, PCA 6.1, 7.1 - 7.2 6 T 10/3/2023 Principal Component Analysis Continued 7.1, 7.2, 7.4 Project - checkpoint 1 bonus math hw out R 10/5/2023 Classification, k-nearest neighbors 18.1, 18.3 hw3 out delayed 7 T 10/10/2023 (break) R 10/12/2023 (break) 8 T 10/17/2023 kNN and Decision Tree 18.3, 19 R 10/19/2023 Linear regression and mid-term recap Away for conference hw3 due delayed bonus math hw due 9 T 10/24/2023 Classification with sci-kit learn, mid-term recap Logistic regression R 10/26/2023 In-class mid-term 10 T 10/31/2023 Decision trees, sklearn R 11/2/2023 Assessment of classifiers. 11 T 11/7/2023 Linear regression. Project - checkpoint 2 R 11/9/2023 Gradient descent hw4 out 12 T 11/14/2023 Logistic regression, limitations of linear models R 11/16/2023 Neural networks - intuition hw4 due 13 T 11/21/2023 Neural networks R 11/23/2023 (break) 14 T 11/28/2023 Clustering - k-means and Density-based R 11/30/2023 NLP 15 T 12/5/2023 NLP continued R 12/7/2023 Recap for final exam Projects - final checkpoint Schedules, particularly those for homeworks and projects are tentative. You'll get updates in class in case anything changes.