https://github.com/edaaydinea/csmm102x-machine-learning

This repository includes the projects of the CSMM102X - Machine Learning course offered by Columbia University.
https://github.com/edaaydinea/csmm102x-machine-learning

artificial-intelligence classification clustering columbia-university machine-learning machine-learning-algorithms regression

Last synced: about 2 months ago
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This repository includes the projects of the CSMM102X - Machine Learning course offered by Columbia University.

• Host: GitHub
• URL: https://github.com/edaaydinea/csmm102x-machine-learning
• Owner: edaaydinea
• License: apache-2.0
• Created: 2021-06-12T09:21:38.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-11-06T21:58:36.000Z (over 2 years ago)
• Last Synced: 2025-03-24T23:51:58.391Z (2 months ago)
• Topics: artificial-intelligence, classification, clustering, columbia-university, machine-learning, machine-learning-algorithms, regression
• Language: Python
• Homepage:
• Size: 22.5 KB
• Stars: 6
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CSMM102X - Machine Learning

 This repository is included my python projects which I studied in Machine Learning for MicroMaster at Columbia University.

 

 Project Explanation of Artificial Intelligence Course

1. Week 2 Project - Linear Regression

   - This project relates to l-2 regularized least-squares linear regression algorithm and active learning.

   

2. Week 6 Project - Classification

   - This project relates to implementation of K-class Bayes Classifier.

3. Week 8 Project - Clustering

   - This project relates to implementation of K-means and EM Gaussian mixture models.

         

4. Week 11 Project - HMM and State - space Models

   - This project relates to implementation of probabilistic matrix factorization. (PMF)