Learn logistic regression in R studio. Logistic Regression , Discriminant Analysis & KNN machine learning models in R
This course includes:
- 6 hours on-demand video
- 18 articles
- 33 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Understand how to interpret the result of Logistic Regression model and translate them into actionable insight
- Learn the linear discriminant analysis and K-Nearest Neighbors technique in R studio
- Learn how to solve real life problem using the different classification techniques
- Preliminary analysis of data using Univariate analysis before running classification model
- Predict future outcomes basis past data by implementing Machine Learning algorithm
- Indepth knowledge of data collection and data preprocessing for Machine Learning logistic regression problem
- Course contains a end-to-end DIY project to implement your learnings from the lectures
- Graphically representing data in R before and after analysis
- How to do basic statistical operations in R
Description
You're looking for a complete Classification modeling course that teaches you everything you need to create a Classification model in R, right?
You've found the right Classification modeling course covering logistic regression, LDA and kNN in R studio!
After completing this course, you will be able to:
· Identify the business problem which can be solved using Classification modeling techniques of Machine Learning.
· Create different Classification modelling model in R and compare their performance.
· Confidently practice, discuss and understand Machine Learning concepts