Machine Learning With Python: Predicting Customer Churn (Udemy.com)
Real world machine learning with Python
Created by: Eduonix Learning Solutions
Last updated September 2019
Course Description
- 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
Who this course is for:
- Any one who wants to learn real world machine learning can use this course
Instructor Details
- 3.8 Rating
42 Reviews
Eduonix Learning Solutions
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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Reviews
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
This is brilliant !
By Shyam Suman
It is good but could be more refined.
Quality Score
Overall Score : 76 / 100









