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.

Senior Product- A Canvas LMS anomaly detection algorithm

JAVA software which use k-means Algorithm in order to sort French ski resort into three clusters (Small Size, Medium Size, Big Size).

A K Means Algorithm Module I created from scratch, with different parameters and functionality

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.

This project processes and clusters text data using BERT embeddings, K-means, and dimensionality reduction. Visualizations include t-SNE plots and word clouds. Dataset and embeddings links are provided.

Used k-means PCA analysis to classify synthetic spectral profiles from sunspots into similar wavelengths, intensity, temperature, etcetera

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.