In this project, with Pearson correlation, book recommendation algorithm builded to make recommendation between users by their ratings.
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Updated
Dec 6, 2023 - Jupyter Notebook
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.
Analysis of heart rate data from people in experiment
Movie-Recommendation-System
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
Movie Recommender (Collaborative Filtering)
Course of business intelligence bootcamp by Dibimbing
Calculate the Pearson correlation between all genes in a given matrix
Se construyo un sistema de reconocimiento de voz que permite al usuario identificarse por medio de su voz para entrar a una aplicación.
Recommendation for new movies to watch on netflix based on given dataset using Pearsons Correlation and SVD
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.
Statistic monster calculates and draws statistical things and also it helps to traders to analyze market.
This Rust program reads values from a CSV file, calculates various statistics, and computes the Pearson Correlation Coefficient.
Package provides java implementation of big-data recommend-er using Apache Spark
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.
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