In this Post I will go through the workflow of a full machine learning project with the california housing dataset as a full Machine Learning project, from A to Z, like it is described in the book “Hands-on Machine Learning with Scikit-learn & Tensorflow” by Aurelien Geron.
Table of Contents:
- Import Libraries
- California housing Dataset
- Big Picture
- Train/Test Split
- Extensive Data Exploration
- Searching for Correlations
- Data Preparation
- How to process Categorical Attributes and Text
- Custom transfer
- Feature Scaling
- Pipelines for tranformation
- Train Models
- Fine Tuning
- Evaluation
- Summary
Unfortunately with WordPress, it is only possible to display a Jupyter Notebook in a small window. Therefore I you can only view it on github, because it is better displayed there.
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Thank you for the information but ‘Github’ link returns 404 error. Please correct accordingly. Thanks again!
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Thank you for the comment Anand. I solved the issues with the link and it should be working now.
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