Maximum Likelihood Estimation and Logistic Regression
Brightspace LMS
MSDS Program Page
CUNYfirst
Announcements
Schedule
Course information
Syllabus
Instructor
Data Project
Software
Textbooks
Topics
Introduction to the course
1 - Introduction to Modeling
2 - Linear regression
3 - Multiple regression
4 - Logistic Regression
5 - Generative Models for Classification
6 - Resampling Methods
7 - Tree Based Methods
8 - Bagging and Random Forests
9 - Support Vector Machines
10 - Principal Component Analysis
11 - Clustering Methods
12 - Missing data
13 - Bayesian Analysis
Maximum Likelihood Estimation and Logistic Regression
Meetups
Slides and recording for the
Maximum Likelihood Estimation and Logistic Regression
meetup.
Published
September 21, 2026
Click here
to open the slides(
PDF
).