Article

Machine Learning Python: Regression Modeling

Written by simplivllc

Topic: Continuing EducationPublished October 23, 2019
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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

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