Boston housing price prediction case study in python

Boston house price prediction

Author Details
Lead Data Scientist
Farukh is an innovator in solving industry problems using Artificial intelligence. His expertise is backed with 10 years of industry experience. Being a senior data scientist he is responsible for designing the AI/ML solution to provide maximum gains for the clients. As a thought leader, his focus is on solving the key business problems of the CPG Industry. He has worked across different domains like Telecom, Insurance, and Logistics. He has worked with global tech leaders including Infosys, IBM, and Persistent systems. His passion to teach inspired him to create this website!

10 thoughts on “Boston housing price prediction case study in python”

    1. Farukh Hashmi

      Hi Ram!
      I am happy that these case studies are helpful to you!
      Videos are in progress. I will add them soon

  1. Amir Reza Leilazi

    Dear Mr Hashmi (Farukh),
    Thank You very much.

    That was very beautiful and completely educational.

    If you’ve written other case studies, please send me the address.
    Faithfully

    1. Excuse me. I checked the main link of this page and i saw some other case studies there.
      It’s only to say Thanks and nothing else.

      1. Dear Farukh,
        Thank you very much. Your model of expression is very informative and complete. Lessons and points are both reviewed and felt.
        wish you all the best …

  2. Hi Farukh,
    In this case, Chas and Rad were Categorical at first.
    In the middle of your analysis, suddenly Zn, considered as categorical and you …
    Please see the BoxPlots above. Why? Thanks

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