Machine Learning With Python: Predicting Customer Churn

Machine Learning With Python: Predicting Customer Churn, available at $24.99, has an average rating of 3.8, with 8 lectures, based on 42 reviews, and has 222 subscribers.

You will learn about Learn to build real world ML solution using Python This course is ideal for individuals who are Any one who wants to learn real world machine learning can use this course It is particularly useful for Any one who wants to learn real world machine learning can use this course.

Enroll now: Machine Learning With Python: Predicting Customer Churn

Summary

Title: Machine Learning With Python: Predicting Customer Churn

Price: $24.99

Average Rating: 3.8

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to build real world ML solution using Python

Who Should Attend

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

Target Audiences

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

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 Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Problem Overview

Lecture 1: Overview

Lecture 2: Exploring the Solution

Lecture 3: Theoretical Concepts

Chapter 3: Building the Models

Lecture 1: Model 1

Lecture 2: Model 2

Lecture 3: Model 3

Lecture 4: Summary

Instructors

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses
Eduonix-Tech .

Rating Distribution

1 stars: 4 votes
2 stars: 4 votes
3 stars: 10 votes
4 stars: 8 votes
5 stars: 16 votes

Frequently Asked Questions

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