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
Various methods for image classification of handwritten numbers
K-means clustering algorithm interactive illustration with plots and images.
Data Science Foundations class project from Selim Karaoglu and Jasper Green
Objective : Find the optimum number of clusters using k-Means to group the sales of Dungaree Jeans
Simple K-means implementation
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.
Using pyspark, Created a customer segmentation using k-means clustering.
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
Analysis of most common venues in Queens, New York. Using k-means method for clustering neighborhoods according to similarity in venues.
Belajar Machine Learning untuk Pemula - Dicoding
Improved k-means Clustering with Genetic Programming
Unsupervised Machine Learning project using K-Means Clustering.
Text clustering with K-Means
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