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Machine Learning With Python: Predicting Customer Churn
Rating: 3.8 out of 5(42 ratings)
245 students

Machine Learning With Python: Predicting Customer Churn

Real world machine learning with Python
Last updated 9/2019
English

What you'll learn

  • Learn to build real world ML solution using Python

Course content

3 sections8 lectures1h 41m total length
  • Introduction4:37

Requirements

  • Basic knowledge of Python and ML is required to complete this course

Description

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!



Who this course is for:

  • Any one who wants to learn real world machine learning can use this course