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Machine Learning With Python: Predicting Customer Churn

Define a customer-churn problem, prepare the data and build Python machine-learning models through a complete problem-to-model sequence

Eduonix Learning Solutions, Eduonix-Tech . · Udemy

Inside the course

What you’ll cover

Define a customer-churn problem, prepare the data and build Python machine-learning models through a complete problem-to-model sequence

Audience and starting point

Selected published requirements: “Basic knowledge of Python and ML is required to complete this course”. See the provider page for the full requirements and current tool terms

Access and subscriptions

Recorded Udemy course advertised with a public course preview. Exact lesson count may be unknown. Purchase or organization-subscription terms and current availability require checking

Learning decision: Choose one customer moment; make Two email alternatives; check Consent, relevance and a clear next step.
An original example for comparing learning plans. Ask whether the course teaches this task, includes practice and offers feedback; the diagram does not describe a provider’s course.

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13 sections • 76 lectures • 5h 11m total lengthCheck current priceEnglish
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Marketing Analytics: Predicting Customer Churn in Python

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Dedicated Telco Churn workflow: exploratory analysis, feature selection/engineering, supervised scikit-learn prediction, train/test split, confusion matrix and accuracy/precision/recall/ROC-AUC/F1, tuning and feature importance

Intermediate. About four hours, 13 videos and 45 exercises. Course page crawl label five days agoCheck current priceAsk about teaching language
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