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UpasanaGhosh / UB-CSE-574-Introduction-to-Machine-Learning

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The projects are a part of the course CSE-574 : Introduction to Machine Learning, that I had taken up for Fall 2019 at the University at Buffalo.

python machine-learning reinforcement-learning university cnn neural-networks logistic-regression buffalo convolutional-neural-networks cnn-keras kmeans-clustering-algorithm university-at-buffalo fall-2019 gmm-clustering ub-cse-574 cse574 intro-to-ml
  • Updated Jan 18, 2020
  • Jupyter Notebook

aksharas28 / Unsupervised-Learning--Clustering-Analysis-on-Fashion-MNIST-Data

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To perform cluster analysis on Fashion MNIST dataset using unsupervised learning, K-Means clustering, and Gaussian Mixture Model clustering is used. The main task is to cluster images and identify it as one of many clusters and to perform cluster analysis on fashion MNIST dataset using unsupervised learning. The model’s effectiveness is measured…

python keras kmeans-clustering sklearn-library autoencoders-fashionmnist gmm-clustering
  • Updated Aug 1, 2020
  • Jupyter Notebook

sanaamironov / CMSC478-MachineLearning

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This course covers fundamental concepts, methodologies, and algorithms related to machine learning taught by Fereydoon Vafaei

random-forest tensorflow svm linear-regression machine-learning-algorithms keras pca dimensionality-reduction logistic-regression convolutional-neural-networks image-segmentation k-means regression-models multi-class-classification binary-classificaiton gmm-clustering
  • Updated Oct 24, 2020
  • Jupyter Notebook

venkatesh-eranti / clustering_milestone-project-Wholesale-customers

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The wholesale distributor is considering changing its delivery service from currently 5 days a week to 3 days a week. However, the distributor will only make this change in delivery service for customers that react positively. How can the wholesale distributor use the customer segments to determine which customers, if any, would reach positively…

pca-analysis kmeans-clustering outlier-removal gmm-clustering silhouette-score featurescaling
  • Updated Nov 30, 2020
  • Jupyter Notebook

narjesno / Intelligent-Systems

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This repository contains all of the Machine Learning-related projects I've worked on. The projects are part of the undergraduate course at the University of Tehran.

genetic-algorithm q-learning naive-bayes-classifier gradient-descent bayes-classifier stochastic-gradient-descent spectral-clustering k-means-clustering random-forest-classifier mlp-classifier knn-classifier tree-classifiers gmm-clustering
  • Updated Oct 2, 2021
  • Jupyter Notebook

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