Linear Regression and Logistic Regression in Python (Udemy)

Linear Regression and Logistic Regression in Python (Udemy) ranks 3rd on the list of best online Linear Regression course. Check out this resource if you want to learn about the intricacies of creating regression models. The lessons begin with an introduction to Python and statistics. The mentor then goes over machine learning and techniques for preparing datasets for analysis. Finally, you can put all the components together as your model comes to life. 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 Python and analyze its result.
• Confidently model and solve regression and classification problems

A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. 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.

• 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 your system by following the provided guidelines
  
• Explore and import data from multiple sources after various treatments
  
• Work with libraries like NumPy, Statsmodel, and Scikit Learn
• Gain actionable insights from the result of your algorithms
• Train and evaluate your model and identify an improvement scope
  
• 69 Lectures + 3 Downloadable resources + 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
• 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
• Basic statistics using Numpy library in Python
• Data representation using Seaborn library in Python
• Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python

Duration: 8.5 hours
Rating: 4.7 out of 5

Enroll here: udemy.com/course/linear-regression-and-logistic-regression-in-python-starttech