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 FUTURE INSTITUTE OF ENGINEERING and MANAGEMENT
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
- Marketing Analytics
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Digital Advertising
- Data Manipulation
- Online Advertising
- Python Programming
- Predictive Analytics
- Performance Analysis
- Machine Learning Methods
- Classification And Regression Tree (CART)
- Data Presentation
- Data Cleansing
- Feature Engineering
- Customer Analysis
- Machine Learning
- Deep Learning
- Data Visualization
- Advertising
Details to know
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Taught in English
No downloads or installation required
Only available on desktop
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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:
Understand the Problem Statement
Import Libraries and Datasets
Practice Opportunity #1 [Optional]
Explore Dataset
Perform Data Visualization
Practice Opportunity #2 [Optional]
Prepare the Data for Training
Train the model
Test Trained Model
Visualize Training/Testing Datasets and Trained Model
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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