K-Means Clustering and Gradient Descent Variants in Spark
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Sep 2, 2024 - HTML
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kmeans-clustering-algorithm
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The K-Means Visualizer is an interactive web application designed to help users understand and visualize the K-Means clustering algorithm. Through an intuitive interface, users can experiment with different numbers of data points and clusters, and observe how the algorithm iteratively updates centroids and assigns data points to clusters.
javascript
css
html
jquery
ui-design
machine-learning
machine-learning-algorithms
bulma
kmeans
kmeans-clustering
interactive-visualizations
kmeans-clustering-algorithm
interactive-webpage
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Jun 18, 2024 - HTML
This repository contains tasks performed in Graduate Rotational Internship Program at The Spark Foundation.
exploratory-data-analysis
python3
decision-tree-classifier
kmeans-clustering-algorithm
linear-regression-algorithm
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Jun 4, 2021 - HTML
This project is a result of the requirements by Allwyn Corporation. It is an image processing and deep-learning based project focused on healthcare data . The project aims to perform image processing on CT Scans images of L3 slice and extract the various fats areas using Deep Learning to calculate the Visceral Fat Index.
deep-neural-networks
computer-vision
deep-learning
image-processing
image-recognition
convolutional-neural-networks
image-segmentation
kmeans-image-clustering
kmeans-clustering-algorithm
unet-image-segmentation
streamlit
streamlit-webapp
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Updated
May 2, 2021 - HTML
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