Create a Neural Network

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prerequisites
basics of Python, TensorFlow, Keras, and deep learning
skills learned
manipulate data with pandas • build a neural network with Keras • test and validate a neural network
Evan Hennis
1 week · 4-6 hours per week · INTERMEDIATE
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catalog / Data Science
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Look inside
In this liveProject, you’ll use Keras to create a deep learning model for predicting basketball scores. Once your model is created, you’ll train it up on sample data and then validate your results to ensure it’s still accurate when applied to data from the real world.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Evan Hennis
Evan Hennis is a Google Developer Expert in Machine Learning and an international speaker. He has an undergraduate degree in Computer Science from Iowa State University and a Master's degree in Computer Science with a specialization in machine learning from Georgia Tech. He has spent over sixteen years in software development, working across multiple languages and domains.

prerequisites

This project is for intermediate Python programmers looking to enhance their data science skills with deep learning techniques. To begin this liveProject, you will need to be familiar with:

TOOLS
  • Basics of Python
  • Basics of pandas
  • Basics of Google Colab
  • Basics of TensorFlow and Keras
TECHNIQUES
  • Basics of deep learning

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