NETFLIX MOVIES AND TV SHOWS CLUSTERING is a project that aims to cluster the available movies and TV shows on Netflix based on their attributes such as genre, release year, and country of production.

This app is clustering example. It has k-Means algorithm, DBSCAN algorithm, Agglomerative algorithm.

Using K-means and Agglomerative clustering, the used vehicle data is segmented based on certain factors. Both quadratic and linear discrinant analysis as well as logistic regression is also carried out on the data.

The goal of this notebook was to introduce and perform clustering algorithms on white wine dataset.

Unsupervised learning algorithms are used here. agglomerative algorithms and k-means clustering are used here.

In this Project we have used Hierarchy Agglomerative clustering Method on google reviews data along with telco data set.

Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.