It contains five years of daily stock price data for all companies currently listed on the index, spanning from early 2013 to early 2018. . The following processes were made, data cleaning/pre-processing, exploratory data analysis, decomposition, fitting models, and forecastig.

This case study explores how an employee’s total income is influenced by three key factors: total expenditures, place of residence (urban or rural), and regular season salary. It aims to uncover the relationships among these variables to better understand income dynamics within the workforce.

This case study focuses on predicting the type of wine (red or white) based on its characteristics and rating. This can help wine business by employing a predictive model like logistic regression, evaluate its performance, and interpret the salient predictors distinguishing red wines from white wines.

An Exploratory Data Analysis in the Distribution of the population in Major sectors and Sub-sectors in NCR. It aims to determine which sectors contribute to employment in NCR