This repository is included my python projects which I studied in Machine Learning for MicroMaster at Columbia University.
Project Explanation of Artificial Intelligence Course
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Week 2 Project - Linear Regression
- This project relates to l-2 regularized least-squares linear regression algorithm and active learning.
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Week 6 Project - Classification
- This project relates to implementation of K-class Bayes Classifier.
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Week 8 Project - Clustering
- This project relates to implementation of K-means and EM Gaussian mixture models.
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Week 11 Project - HMM and State - space Models
- This project relates to implementation of probabilistic matrix factorization. (PMF)