Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
IEEE

Comparative Study of Machine Learning Based Defect Prediction Models for Python Software

Abstract: Software Defect Prediction improves the software's stability and ensures the testing process is streamlined by pointing out issues in code. Software developers can manage and use their ...
GitHub

Linear Regression Practice Using Python

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...
Hosted on MSN

Master Linear Regression in Python A Step by Step Beginners Guide

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
GitHub

Nonlinear Regression: Estimating Hand-to-Camera Distance

This project implements a quadratic nonlinear regression model to estimate the real-world distance between a hand and a camera based on the relative positions of hand landmarks in 2D images. The ...
Visual Studio Magazine

Linear Regression Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
Frontiers

i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus

Virology Unit and Bioinformatics Centre, Council of Scientific and Industrial Research (CSIR) - Institute of Microbial Technology, and Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, ...
Scientific Research Publishing

Harrell, Jr. (2015) Regression Modeling Strategies with Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. 2nd Edition, Springer.

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...