In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.

A movie recommender written in Go that suggests movies considering various factors within a particular dataset, encompassing users, movies, and movie ratings.

A prototype of a recommender system based on Euclidean Similarity/Pearson Similarity Coefficient

calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library ma…

Identify best tweeting practices by hospitals in Illinois during COVID-19. Also find factors affecting popularity of a tweet.

E-commerce site data preparation and sales analysis to answer customer profile and sales questions

This is a simple implementation of the package to calculate correlation coefficient

Movie Recommender (Collaborative Filtering)

Movie Recommendation System

Course of business intelligence bootcamp by Dibimbing

Movie recommendation software in Java

Command line utility for calculating Pearson Correlation Coefficients

This is the curated pile of notebooks/small projects which contains linear and non-linear regression models.

Implemented an item-based collaborative filtering recommender system for a given user using Pearson’s R.

A project to explore various aspects and factors associated with Youtube videos to gain valuable insights.

Detecting correlated columns in DBMS systems using techniques like Pearson Correlation, LSH Minhashing and Random Sampling.

Applied KS test and T-test to check whether rental subsidy rate’s distributions are different across different PHAs and implemented Pearson-correlation analysis to explore the linear correlation between rental subsidy rate and other factors.

Apply preprocessing for feature selection, for a numerical input and categorical output dataset

my final year project for bachelor degree in Computer Engineering