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

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.

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

Data Analysis exercises as a part of Udacity's Intro to Data Analaysis

Theoretical Statistics

Quantitative Analysis of Mid-Atlantic Wage Data using R

This is an Exploratory Data Analysis (EDA) in 12 Steps with an easy going dataset for beginners. The goal is to understand the correlation between variables step by step. For advance practionners you can use the profiling package in Python