Linear Regression Analysis in R - Machine Learning Basics
Ditulis pada: September 08, 2019
Linear Regression Analysis in R - Machine Learning Basics, Linear Regression in R studio. Simple & multiple Regression Analysis is essential for Machine Learning and Econometrics
Created by Start-Tech Academy
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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