In this course, you will :
- 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.