In this coding challenge, you'll compete with other learners to achieve the highest prediction accuracy on a machine learning problem. You'll use Python and a Jupyter Notebook to work with a real-world dataset and build a prediction or classification model.

Data Science Coding Challenge: Loan Default Prediction


Data Science Coding Challenge: Loan Default Prediction
Access provided by Universidad del Magdalena
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Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level
Recommended experience
8 hours
Complete at your own pace
Objectives
Load, clean, analyze, process, and visualize data using Python and Jupyter Notebooks
Produce an end-to-end machine learning prediction model using Python and Jupyter Notebooks
Skills you'll demonstrate
Details to know
Shareable work sample
Add to your Coursera profile
Taught in English
No downloads or installation required
Use a Coursera Lab, a pre-configured in-browser cloud workspace (only available on desktop)
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About this Project
Project plan
This project requires you to independently complete the following steps:
Importing and preprocessing data
Analyze the data
Build machine learning models
Evaluate machine learning models
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