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My machine learning projects about regression, classification and clustering

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Classification Week 1 - Logistic Regression
Classification Week 1 - Logistic Regression
 
 
Classification Week 2 - Logistic Regression
Classification Week 2 - Logistic Regression
 
 
Classification Week 3 - Decision Tree
Classification Week 3 - Decision Tree
 
 
Classification Week 4 - Decision Trees in Practice - overfitting
Classification Week 4 - Decision Trees in Practice - overfitting
 
 
Classification Week 6 - Precision and Recall
Classification Week 6 - Precision and Recall
 
 
Classification Week 7 - Large Dataset
Classification Week 7 - Large Dataset
 
 
Classsification Week 5 - Boosting
Classsification Week 5 - Boosting
 
 
Clustering Week 2 - KNN Neighbors
Clustering Week 2 - KNN Neighbors
 
 
Clustering Week 3- Kmeans
Clustering Week 3- Kmeans
 
 
Clustering Week 4- EM for Gaussian mixtures
Clustering Week 4- EM for Gaussian mixtures
 
 
Clustering Week 5 - Mixed Membership Modeling via Latent Dirichlet Allocation
Clustering Week 5 - Mixed Membership Modeling via Latent Dirichlet Allocation
 
 
Clustering Week 6 - Hierarchical Clustering & Closing Remarks
Clustering Week 6 - Hierarchical Clustering & Closing Remarks
 
 
Machine Learning Case Study Week 2 - Regression
Machine Learning Case Study Week 2 - Regression
 
 
Machine Learning Case Study Week 3 - Classification
Machine Learning Case Study Week 3 - Classification
 
 
Machine Learning Case Study Week 4 - Clustering and Retrieving
Machine Learning Case Study Week 4 - Clustering and Retrieving
 
 
Machine Learning Case Study Week 5 - Recommender System
Machine Learning Case Study Week 5 - Recommender System
 
 
Machine Learning Case Study Week 6 - Deep Learning, Searching for Images
Machine Learning Case Study Week 6 - Deep Learning, Searching for Images
 
 
Regression Week 1 - Simple Linear
Regression Week 1 - Simple Linear
 
 
Regression Week 2 - Multiple Regression
Regression Week 2 - Multiple Regression
 
 
Regression Week 3 - Accessing Performance
Regression Week 3 - Accessing Performance
 
 
Regression Week 4 - Ridge
Regression Week 4 - Ridge
 
 
Regression Week 5 - Lasso
Regression Week 5 - Lasso
 
 
Regression Week 6 - KNN and Kernal Regression
Regression Week 6 - KNN and Kernal Regression
 
 
.DS_Store
.DS_Store
 
 
README.md
README.md
 
 

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Machine-Learning-University-of-Washington

My machine learning projects about regression, classification and clustering All projects are completed using Pandas, Numpy, Scikit-learn and matplotlib.

There are 4 courses in the Machine Learning Specialization provided by University of Washington via Coursera.

Course 1: Machine Learning Foundations: A Case Study Approach

Course 2: Machine Learning: Regression

Course 3: Machine Learning: Classification

Course 4: Machine Learning: Clustering & Retrieval

While the guidelines of the assignments were provided n in Graphlab, I choose to use Pandas, Numpy and Scikit-learn to enhance my coding skills.

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My machine learning projects about regression, classification and clustering

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machine-learning clustering numpy scikit-learn regression pandas classification university-of-washington

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