Abstract: This paper examines the factors that effect the monthly inflation rate in India using monthly data from January 2010 to October 2020. Two multiple linear regression models, with and without ...

A targeted resource for mastering Scikit-Learn, featuring practice problems, code examples, and interview-focused machine learning concepts in Python. Covers model building, evaluation, and ...

Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

A comprehensive analysis and modelling for the Titanic data, covering, data cleaning, outlier identification, EDA, feature engineering/selection, and model evaluation ...

The concept of machine learning has somewhat become a fad as late, with companies from small start-ups to large enterprises screaming to be technologically enabled through the quote on quote, ...

One of the most satisfying aspects for engineers who are driving innovation in ultra-precise linear technology is to enable new classes of circuits to be built that achieve specifications that were ...

Abstract: The construction of genetic regulatory networks from time series gene expression data is an important research topic in bioinformatics as large amounts of quantitative gene expression data ...

The applications of simple linear regression in medical research are limited, because in most situations, there are multiple relevant predictor variables. Univariate statistical techniques such as ...