End-to-End ML Project - California Housing

End-to-End ML Project - California Housing

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2 Concepts | 15 Assessments | 682 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
Attempted by

Praveen
Vagdevi
Sasmita
Sharon Kaur

and 678 more

This topic is part of below listed courses -

Machine Learning Specialization (Includes Deep Learning) | Machine Learning | Deep Learning | Certificate Course Artificial Intelligence Deep Learning IIT Roorkee | Data Science Specialization | MLOps Certification Training | Post Graduate certification in Applied Data Science and AI, IIT Roorkee | Data Analysis with Python | PG Certificate Program in Data Science & AI By CEC, IIT Roorkee

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