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Data Science Coding Challenge: Loan Default Prediction
  • About
  • Project details
  • Testimonials
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  2. Data Science
  3. Data Analysis
Coursera Project Network

Data Science Coding Challenge: Loan Default Prediction

5,653 already enrolled

Project
Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level

Recommended experience

Recommended experience

Intermediate level

Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook, sklearn

8 hours
Complete at your own pace

Project
Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level

Recommended experience

Recommended experience

Intermediate level

Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook, sklearn

8 hours
Complete at your own pace
  • About
  • Project details
  • Testimonials

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

  • Python Programming
  • Predictive Analytics
  • Machine Learning
  • Data Processing
  • Applied Machine Learning
  • Predictive Modeling
  • Data Science
  • Jupyter
  • Data Analysis
  • Data Manipulation

Details to know

Shareable work sample

Add to your Coursera profile

Taught in English
No downloads or installation required

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About this Project

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.

Important Information: How to register? To participate, you’ll need to complete simple steps. First, click the “Start Project” button to register. Next, you’ll need to create a Coursera Skills Profile, which only takes a few minutes. We’ll send you a profile link the week of the challenge. When does the challenge start? The coding challenge begins Tuesday, August 29th, at 8 AM (PST) and closes Thursday, August 31st, at 11:59 PM (PST). If you’re registered, you’ll receive a reminder email on the challenge start date. Please note this is a timed competition. Once the challenge is unlocked, you’ll have 72 hours to complete it. You can submit as many times as you would like within this timeframe. What will the winners receive? Participants will be evaluated based on their model’s prediction accuracy. The top 20% of participants will receive an achievement badge on their Coursera Skills Profile, highlighting their performance to recruiters. The top 100 performers will get complimentary access to select Data Science courses. All participants can showcase their projects to potential employers on their Coursera Skills Profile. Winners will be notified by email the week of September 10th. Good luck, and have fun!

Project plan

This project requires you to independently complete the following steps:

  1. •

    Importing and preprocessing data

  2. •

    Analyze the data

  3. •

    Build machine learning models

  4. •

    Evaluate machine learning models

Offered by

Coursera Project Network

Offered by

Coursera Project Network

The Coursera Project Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their projects. If you're interested in becoming a project instructor and creating Guided Projects to help millions of learners around the world, please apply today at teach.coursera.org.

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