In this project, we will predict Ads clicks using logistic regression and XG-boost algorithms. In this project, we will assume that you have been hired as a consultant to a start-up that is running a targeted marketing ad campaign on Facebook. The company wants to analyze customer behavior by predicting which customer clicks on the advertisement.
Predict Ad Clicks Using Logistic Regression and XG-Boost
Predict Ad Clicks Using Logistic Regression and XG-Boost
Instructor: Ryan Ahmed
Access provided by Abu Dhabi National Oil Company
Learn, practice, and apply job-ready skills with expert guidance
4.6
(10 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Train and test an XG-Boost and Logistic Regression models in Scikit-Learn
Perform data cleaning, feature engineering and visualization
Assess the performance of trained classifier models using various KPIs such as accuracy, precision and recall
Skills you'll practice
Tools you'll use
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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Learn, practice, and apply job-ready skills in less than 2 hours
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- Gain hands-on experience solving real-world job tasks
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
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Understand the Problem Statement
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Import Libraries and Datasets
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Practice Opportunity #1 [Optional]
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Explore Dataset
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Perform Data Visualization
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Practice Opportunity #2 [Optional]
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Prepare the Data for Training
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Train the model
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Test Trained Model
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Visualize Training/Testing Datasets and Trained Model
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Practice Opportunity #3 [Optional]
Recommended experience
Basic Python Programming and Math Background
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Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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