End-to-End ML Project - California Housing

End-to-End ML Project - California Housing

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2 Concepts | 15 Assessments | 647 Learners

This is an end-to-end Machine Learning project. You would start by learning how to load a dataset, visualize it, fill in the missing values, create pipelines, handle categorical variables, train models based on that data, and finally predict using that model.

This will not only help you understand how to train a machine learning model, but will also give you a detailed idea of how to clean and prepare data for machine learning, train the model, and fine tune it in real life projects.

Skills you will develop:

  1. scikit-learn
  2. Data visualization
  3. Treating missing values in dataset
  4. Handling categorical variables
  5. Creating transformation pipelines
  6. Training Machine Learning models