Description
[ FreeCourseWeb.com ]Machine Learning Basics: Building a Regression model in R
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 6 hour | Size: 2.75 GB
Use Linear Regression to solve business problems and master the basics of Machine Learning Linear Regression in R
What you'll learn
Learn how to solve real life problem using the Linear Regression technique
Preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression
Predict future outcomes basis past data by implementing Simplest Machine Learning algorithm
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
Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
Learn advanced variations of OLS method of Linear Regression
Course contains a end-to-end DIY project to implement your learnings from the lectures
How to convert business problem into a Machine learning Linear Regression problem
How to do basic statistical operations in R
Advanced Linear regression techniques using GLMNET package of R
Graphically representing data in R before and after analysis
Requirements
Students will need to install R and R studio software but we have a separate lecture to help you install the same
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