K-means clustering algorithm using MapReduce.

Implementation of k-means clustering algorithm from scratch.

Machine Learning Code Implementations in Python

Using various forms of Singular Value Decomposition(SVD) for a recommendation and prediction system

This project applies K-means algorithm to group cryptocurrencies based on 24-hour and 7-day price changes. It also investigates the impact of dimensionality reduction using PCA on clustering outcomes.

Hamming Network implementation using PCA implementation from scratch

Image Clustering Algorithm implemented in C++

Segment customers based on their transaction performance similarities using business metrics (RFM & cohort analysis) and KMeans model.

Using K-means clustering, I will gain insights into similarity between countries and regions of the world by experimenting with different cluster amounts. What do these clusters represent?

About Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

Unsupervised Machine Learning-Netflix Recommender recommends Netflix movies and TV shows based on a user's favorite movie or TV show. It uses a a K-Means Clustering model to make these recommendations. These models use information about movies and TV shows such as their plot descriptions and genres to make suggestions.

Vector quantization compression for images using kmeans clustering algorithm.

The main objective of this project is to group customers with similar behavior and characteristics into segments to better understand their needs and preferences. The unsupervised machine learning techniques used in this project include K-means clustering ,hierarchical clustering and DBScan Clustering.

K-Means clustering algorithm implementation with OpenMP

My assignments for homework of Computational Data Mining course at Amirkabir University of Technology

Projeto de clusterização de clientes com base em campanhas de marketing.

Customer segmentation is the process of dividing a company's customers into groups based on common characteristics. The goal is to maximize the value of each customer to the business.

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

👨‍💻👨‍💻 Large amount of customer data has been clustered and establishing predictive model by decision Tree.

Logistic Regression, Random Forest & K-means Clustering algorithms are used in this project