Machine Learning With Python: Predicting Customer Churn (Udemy.com)

( 3 Reviews )

Created by: Eduonix Learning Solutions

Produced in 2021

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Overall Score : 86 / 100

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

Time: 1.5h

Instructor Details

Eduonix Learning Solutions

4.3 Rating
3 Reviews

Eduonix creates and distributes high quality technology training content. Our team of industry professionals have been training manpower for more than a decade. We aim to teach technology the way it is used in industry and professional world. We have professional team of trainers for technologies ranging from Mobility, Web to Enterprise and Database and Server Administration.

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By Sovanna Chuon

Very interesting topic. Good explaination. Video #6 has black screen with only audio around 11:25. The reason for only 4 stars is you're using Python 2.7 which is due to deprecate early next year. I wasn't clear on the resolution. It sounds like if the fee is >85, the customers will churn. Does that mean the business will need to reduce fee or can the company add other incentives to keep the customers. You started on the topic of SVM, but not provide sufficient detail.

By Anantharamaiah Prabhakar