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Machine Learning Python: Regression Modeling

Machine Learning Python: Regression Modeling

The 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.

Overview

About this Course
Use Linear Regression to solve business problems and master the basics of Machine Learning

The 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.

In this course students will learn the following:

How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
How to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
Understand how to interpret the result of Linear Regression model and translate them into actionable insight
Understanding of basics of statistics and concepts of Machine Learning
Learn advanced variations of OLS method of Linear Regression
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python
This 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

Course Information

Students will need to install Python and Anaconda software but we have a separate lecture to help you install the same

What you will learn
In this course students will learn the following:

How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
How to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
Understand how to interpret the result of Linear Regression model and translate them into actionable insight
Understanding of basics of statistics and concepts of Machine Learning
Learn advanced variations of OLS method of Linear Regression
Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Undergraduates or postgraduates at any knowledge level who want to learn about regression machine learning using Python programming language.
Academic researchers who wish to deepen their knowledge in data mining, applied statistical learning or artificial intelligence.
Business data scientists who desire to apply this knowledge in areas such as consumer analytics, finance, banking, health care, e-commerce or social media.

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Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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