Machine Learning Python: Regression Modeling
Written by simplivllc
Machine Learning Python: Regression Modeling
Machine Learning is a related field of Artificial Intelligence that enables machines to improve at a given task with experience. Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing never like before. According to a report released by Research and Markets, the global AI and machine learning technology sectors are expected to grow from $1.4B to $8.8B by 2022 and it is predicted that AI tech sector will create around 2.3 million jobs by 2020.rnThe course "Machine Learning Basics: Building Regression Model in Python" teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.rnIn this course students will learn the following:
• How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithmrn• How to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regressionrn• Understand how to interpret the result of Linear Regression model and translate them into actionable insightrn• Understanding of basics of statistics and concepts of Machine Learningrn• Learn advanced variations of OLS method of Linear Regressionrn• Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of PythonrnThis course is suitable for anyone curious about machine learning or professionals beginning their data journey.
Basic knowledge:
• Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same
What will you learn:rnIn this course students will learn the following:
• How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithmrn• How to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regressionrn• Understand how to interpret the result of Linear Regression model and translate them into actionable insightrn• Understanding of basics of statistics and concepts of Machine Learningrn• Learn advanced variations of OLS method of Linear Regressionrn• Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python.
Course Link : https://www.simpliv.com/machinelearning/machine-learning-basics-regression-modeling-in-pythonrn
Article author
About the Author
Simpliv LLC, is a platform for learning and teaching online courses. We offer a rich variety of educational courses that have been prepared by authors, educators, coaches, and business leaders. Whether you're interested in healthy living, nutrition, natural healing, computer programming, or learning a new language, you'll find it here.
Further reading
Further Reading
Article
Best FMGE Coaching Institute in Delhi for Focused FMGE Exam Preparation
For students researching the Best FMGE Coaching Institute, MedNext offers a combination of classroom learning, faculty guidance, PYQ practice, MCQs, visual questions, regular testing, CBT practice, and revision.
September 16, 2026
Article
Using Previous Year Question Papers Alongside Exam Rehearsal Series for Better Preparation
Combine previous year question papers, model papers, and Maazter’s Exam Rehearsal Series to understand exam patterns, improve weak areas, and build confidence through structured practice.
September 13, 2026
Article
Best FMGE Coaching Institute for Focused, Complete and Result-Oriented Preparation
Choosing the Best FMGE Coaching Institute can help medical graduates prepare for the Foreign Medical Graduate Examination with greater structure and confidence. The article explains the importance of comprehensive subject coverage, concept-based teaching, quality study material, question banks, regular tests, mock exam
September 8, 2026
Article
The Essential Business Analytics Ecosystem: Leading Solutions for Data-Driven Success
September 8, 2026