Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 41 Minute(s)
Language
English
Rating
2 views
Course Overview
Real world machine learning with Python
The word “churn” refers to a customer giving up on that company. The reasons could be anything from faulty products to inadequate after-sales services. So, to counteract that, many companies are starting to predict the customer churn and taking steps to cease that trend with the help of AI and machine learning.
What Makes this Course so Valuable?
This course will introduce you to practical machine learning using Python and will use the problem of Customer Churn production to explain and build the machine learning model. This course will help you to understand how you can implement real world solution yourself.
The Course Includes:
Introduction to the dataset
Digging deeper into variable space
Interrelations between variables
Decision Tree
Tuning decision tree parameters
Support vector machines and Underlying mathematics
SVM parameters
Master How to Predict Customer Churn with Python Course Today!
Course Content
- 3 section(s)
- 8 lecture(s)
- Section 1 Introduction
- Section 2 Problem Overview
- Section 3 Building the Models
What You’ll Learn
- Learn to build real world ML solution using Python
Reviews
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SSahar Ujan
This course was amazing, every concept was very well elaborated. Many thanks
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MMartin Haynes
clear and iam able to understand for project
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PPedro David Mendoza
explain the models but not applied to the data at the end
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HHetal Udani
This course is only going to get you familiar with "terms" of machine learning like what Decision Tree is or what SVM (Support Vector Machine) is . It's an extremely basic course with no real meaningful insights into model understanding.
