Assignments Solution for Foundations of Machine Learning Course
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Updated
Jan 19, 2019 - Jupyter Notebook
Assignments Solution for Foundations of Machine Learning Course
Python in Data Science
Codes and Presentations for the PGMs Course
Using several clustering algorithm to segment an insurance company customers
Generative models for creating synthetic data from Boston housing dataset
Statistical Model (GMM) employed for Audio Classification
EC447: Pattern Recognition and Machine Learning Course Project
AI project on Unsupervised learning with UCI wholesale customer data set for segmentation
Customer segmentation for a wholesale company
A minimalistic implementation of common machine learning algorithms in Python and NumPy.
Finite mixture of full-rank Gaussians for density estimation & variational inference.
From-scratch implementation of Multivariate Expectation-Maximization algorithms.
Chapman University CPSC-392 Data Science Final Project
Data Science project with BrainStation Bootcamp. An engine that recommends a new city based on similar features to your current city.
The gaussian mixture clustering algorithm with Numpy, and demonstrations on an image data
Explore multiple clustering techniques to identify customer clusters for airline client
Unlocking Iris dataset mysteries with Gaussian Mixture Models and K-Means clustering algorithms.
Michigan Covid-19 prediction
Clustering using Gaussian mixture modeling for species delimitation and classification
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