Automate Data Preprocessing you own this product

prerequisites
basic Python, pandas, Matplotlib, NumPy, SciPy, scikit-learn, and deep learning/Keras
skills learned
implementing data preprocessing for image data • training deep learning models adopting the data preprocessing
Xiaotian Han
1 week · 4-6 hours per week · INTERMEDIATE
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Look inside

In this liveProject, you’ll utilize automated machine learning tools to help the data preprocessing and feature engineering for creating an image classification model. You’ll start with the basics of data preprocessing, and then see how useful AutoML solutions can make this process quicker and easier. The rewards are big, as properly preprocessed data can dramatically improve the outcomes of a deep learning project.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Xiaotian Han
Xiaotian Han is a PhD student at Texas A&M University, where he works in the field of data mining and automated machine learning. He has published several research papers related to data mining and automated machine learning and participated in an open-source package, AutoRec, which is highly based on the AutoKeras.

prerequisites

This liveProject is for Python programmers who know the basics of deep learning. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basic Python
  • Basic pandas
  • Basic Matplotlib
  • Basic NumPy
  • Basic SciPy
  • Basic scikit-learn
TECHNIQUES
  • Basic deep learning/Keras
  • Basics of image data processing

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