Linear Regression and Logistic Regression using R Studio (Udemy)

This course is one of the top contenders available online for developing data analysis skills using the popular programming language R. Develop your intuition to identify business problems that can be solved using these analyses. Before beginning the training and testing process, structure the data and eliminate errors. Finally, estimate the model's efficiency by measuring its accuracy rate. Following completion of this course, you will be able to:

• Identify the business problem which can be solved using linear and logistic regression technique of Machine Learning.
• Create a linear regression and logistic regression model in R Studio and analyze its result.
• Confidently practice, discuss and understand Machine Learning concepts

If you are a business manager, executive, or student who wants to learn and apply machine learning in real-world business problems, this course will provide you with a solid foundation by teaching you the most popular machine learning technique, Linear Regression. This course covers all of the steps involved in solving a business problem using linear regression. Most courses only teach how to run the analysis, but we believe that what happens before and after running analysis is even more important, i.e. before running analysis, you must have the correct data and perform some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.

What is covered in this course?

• Section 1 - Basics of Statistics
• Section 2 - Python basic
• Section 3 - Introduction to Machine Learning
• Section 4 - Data Preprocessing
• Section 5 - Regression Model

Highlights:

• Set up Jupyter environment and Python for your computer
  
• Perform preliminary checks with univariate and bivariate analysis
• Create dummy variables and transform them
• Attempt quizzes and identify your weak areas
• Showcase your findings graphically and gain insights
• 67 Lectures + 3 Articles + Full lifetime access

What you will learn:

• Learn how to solve real life problem using the Linear and Logistic Regression technique
• Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
• Graphically representing data in R before and after analysis
• How to do basic statistical operations in R
• Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
• Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem

Duration: 7 hours
Rating: 4.3/5

Enroll here: udemy.com/course/linear-regression-and-logistic-regression-r-studio-starttech