Machine Learning With Python: Predicting Customer Churn

Real world machine learning with Python
3.81 (42 reviews)
Udemy
platform
English
language
Data Science
category
Machine Learning With Python: Predicting Customer Churn
232
students
1.5 hours
content
Sep 2019
last update
$19.99
regular price

Why take this course?

🎓 Course Title: Machine Learning With Python: Predicting Customer Churn

🚀 Course Headline: Real World Machine Learning with Python

🔍 Understand & Predict Customer Behavior

Are you ready to tackle one of the most critical issues facing businesses today? Customer churn can be a silent killer for any company, and understanding what drives customers away is crucial for business survival. With our "Machine Learning With Python: Predicting Customer Churn" course, you'll learn how to predict and reduce this turnover using advanced machine learning techniques with Python.

Why Choose This Course? 🏅

This comprehensive course isn't just about learning machine learning concepts; it's about applying them in real-world scenarios. By focusing on the problem of Customer Churn, you'll gain hands-on experience in:

  • Understanding Data: Dive into the dataset that forms the basis for predicting churn, and learn how to interpret the data points that matter most.

  • Exploring Variables: Examine the variables at play and understand their influence on customer behavior.

  • Analyzing Interrelations: Uncover the complex relationships between different variables affecting churn.

  • Building Models: Learn to construct robust Decision Trees and fine-tune them for optimal performance.

  • Support Vector Machines (SVMs): Discover the underlying mathematics of SVMs and master parameter tuning to improve your predictions.

Course Highlights:

Comprehensive Introduction: Get an overview of the dataset and what it tells us about customer behavior.

Variable Analysis: Delve into the nuances of each variable and its significance in predicting churn.

Intervariable Relationships: Explore how different variables interact and influence the outcome.

Decision Trees: Construct a Decision Tree model from scratch, learning best practices along the way.

Parameter Tuning: Learn to optimize decision tree parameters for better predictions.

Support Vector Machines (SVMs): Understand the mathematics behind SVMs and how they can be used in predictive analytics.

SVM Parameters: Get hands-on experience with tuning SVM parameters to refine your churn prediction model.

🎓 Master How to Predict Customer Churn with Python Course Today!

Join us on this journey to master the art of predicting customer churn using Python's powerful machine learning capabilities. With our expert guidance, you'll be equipped to implement real-world solutions that can make a significant difference in business retention strategies. 🚀

Enroll now and take your first step towards becoming a data science hero who can prevent customer churn and drive business growth! 📈

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2466824
udemy ID
19/07/2019
course created date
20/11/2019
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