Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

Develop a customer segmentation to define market strategy. The sample dataset summarizes the usage behaviour of about 9000 active credit card holders during the last 6 months.

ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage.

Package provides java implementation of big-data recommend-er using Apache Spark

Recommedation of movies to a user based on user rating data.

This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in…

A simple recommender system in python implementing: ItemKNN, UserKNN, ItemAverage, UserAverage, UserItemAverage, etc.

collection of utility functions for correlation analysis

Recommender System based on Collaborative Filtering using Java

Wesleyan University

Book Recommendation System Web App

Web app with interactive forecasts based on correlations

Implementation of various feature selection methods using TensorFlow library.

This repository is for Netflix movie recommendations using various content and collaborative-based methods like Word2vec, Node2vec, Sentence Transformer, MiniBatchKMeans, Cosine Similarity, Pearson's Correlation, and Singular Value Decomposition (SVD).

Online statistics

Analysis of heart rate data from people in experiment

Movie-Recommendation-System

Pearson correlation coefficient visualizer for forex pairs using force-directed graphs

Anime Recommendation System using Pearson Correlation and Nearest Neighbors