A jigsaw puzzle solver term project.
Explore the similarities and differences in people's tastes in movies based on how they rate different movies. Can understanding these ratings contribute to a movie recommendation system for users? Let's dig into the data and see.
Using K-means Clustering for Image Compression
Developed Model to detect handwritten digits. Model is trained on MNIST data set, and 10 clusters are achieved as expected.
basic-ml-datasets-Some ml-datasets to practice different ml techniques.
A Machine Learning algorithm that assigns the data of a given dataset to a number of clusters.
Final project of my Ironhack Data Analytics Bootcamp. Customer Clustering with K-Means
1. Diabetes Prediction Using Ensemble Techniques 2. Customer Segmentation Using RFM & K-Means 3. Market Basket Analysis
Segmenting customers into different groups by doing RFM analysis and with the help of K-Means Clustering
Cluster analysis of shape features in famous datasets
A Simple clustering application created for FCIS-ASU Artificial Intelligence course in Spring of 2022
This repository contains pre-requisite notebooks of Feature Engineering Course from Kaggle for my internship as a Machine Learning Application Developer at Technocolabs.
This AI Platform notebook guides you through the process of from building a k-means clustering models for market segmentation using BigQuery ML to evaluation using Davies-Bouldin index
python k-means clustering jupyter notebook
Summarize the dimensions of demographic and customer data and cluster unlabeled data into groups with similar properties
An implementation of modified K-Means clustering on Biological Data (Proteins).
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