My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.
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Updated
Sep 15, 2016 - MATLAB
My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.
K-means clustering and regression learning algorithms in python, visualized with matplotlib
Built in a machine learning hackathon organised by National Stock Exchange, Mumbai, India
understand the meanings of words in literature based on semantic usage
K-means clustering algorithm interactive illustration with plots and images.
Data Science Foundations class project from Selim Karaoglu and Jasper Green
Raw Coding Implementation Of Different Sorts Of Machine Learning Algorithms Without Using Library
CS 351: Introduction to Artificial Intelligence Assignments
Simple K-means implementation
Data Science Portfolio
Machine Learning Assignments CS 6140 at Northeastern University Summer 2019.
Project for the Neural Networks course @cse.uoi.gr
Classification and clustering in dataset of news articles.
This project was done together with my colleague Noam Shmuel during the class of "Unsupervised Learning" @ University of Warsaw taught by professor Jacek Lewkowicz, PhD
Using pyspark, Created a customer segmentation using k-means clustering.
Credit card users segmentation with multiple methods: K-means, agglomerative_clustering
Analyzing Marketing Analytics Data on Purchase Behavior and Campaign Responses - Customer Segmentation, Data Visualization, Regression Analysis, Random Forest
Clustered bank's clients data using K-Means to launch targeted marketing campaigns tailored for their specific needs and behaviors.
Machine Learning Algorithms from Scracth using Python.
This is a capstone project for the IBM Professional Data Science Certificate
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