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 Challenge

Data Science Challenge
Access provided by Pontificia Universidad Católica del Perú
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Recommended experience
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
- Predictive Modeling
- Technical Communication
- Jupyter
- Python Programming
- Data Analysis
- Machine Learning
- Machine Learning Algorithms
- Data Science
- Model Evaluation
- Predictive Analytics
- Applied Machine Learning
- Skills section collapsed. Showing 10 of 11 skills.
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About this Project
Project plan
This project requires you to independently complete the following steps:
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Importing and preprocessing data
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Analyze the data
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Build machine learning models
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Evaluate machine learning models
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