Some machine learning algorithms implemented in TensorFlow or Pytorch.

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

This project implements a K-means clustering algorithm with data visualization using Matplotlib and SciPy, including an Elbow method for optimal cluster determination and animated visualizations of the clustering process. It generates random data, performs clustering, and visualizes the results with cluster boundaries.

maneuver the shape and distribution of kmeans clusters

Bundle OSGI responsável pela execução do Algoritmo KMeans.

Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)

a kmeans algorithm proposed improvement

Clusterisasi

KMeans clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters.

A visualization project aims to build trust between regular citizen and government.

Lung Cancer Detection with SVM uses the Support Vector Machine algorithm to detect lung cancer from medical images and patient data. This project covers data preprocessing, feature extraction, model training, and evaluation, aiming to provide a reliable tool for early detection and timely diagnosis.

clustering of night time satellite images and depicting them by use of different colors

Customer Segmentation using Kmeans, than used Random Forest for prediction about new customers

K-means clustering algorithm using MapReduce.

AsanaAi extends its reach to Android devices, offering users the convenience of fitness and wellness on the go. Leveraging TensorFlow Lite for pose estimation and K-means clustering for accurate exercise counting, the Android app ensures seamless integration of AI technologies into users' daily routines, making fitness more accessible and engaging

Basic Machine Learning algorithms from scratch (numpy)

Machine Learning algorithms

Python implementation of K-Means Clustering algorithm for unsupervised learning. Efficiently groups data points into clusters based on similarity. Simple yet powerful tool for data exploration, segmentation, and pattern recognition tasks in various fields.

DocClusterizer is a Java desktop application designed to analyze and cluster documents based on their content similarity. The application utilizes Lucene and Tika libraries to process various file extensions such as txt, pdf, docx, and pptx.