The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

This article is authored by Tauseef Alam, legislative associate and research lead to Sujeet Kumar, Member of Parliament (Rajya Sabha).

Linear regression is a statistical approach that models the relationship between input features and output. The input features are called the independent variables, and the output is called a ...

Comparison of the innovative Linear Regression and Logistic Regression Algorithms for Ground Water Level Detection with Improved Accuracy is the goal of this study, which was designed to investigate ...

This paper presents an efficient reversible algorithm for linear regression, both with and without ridge regression. Our reversible algorithm matches the asymptotic time and space complexity of ...

Tool which is able to predict through a simple Linear Regression algorithm in Python the effects (mainly on illiteracy in people over 15 years old) of bigger fundings spent on education in a country.