Learn practical skills, build real-world projects, and advance your career
# # Jovian Commit Essentials
# # Please retain and execute this cell without modifying the contents for `jovian.commit` to work
# !pip install jovian --upgrade -q
# import jovian
# jovian.set_project('ml-project-gbms')
# jovian.set_colab_id('1v-iW9CNYmw-9tk9i6TtqsRXF-_gU2-Zg')

Machine Learning Project

Sberbank Russian Housing Market, Sales Price Prediction

Imgur

How to run the code

This tutorial is an executable Jupyter notebook hosted on Jovian. You can run this tutorial and experiment with the code examples in a couple of ways: using free online resources (recommended) or on your computer.

Option 1: Running using free online resources (1-click, recommended)
The easiest way to start executing the code is to click the Run button at the top of this page and select Run on Binder. You can also select "Run on Colab" or "Run on Kaggle", but you'll need to create an account on Google Colab or Kaggle to use these platforms.

Option 2: Running on your computer locally
To run the code on your computer locally, you'll need to set up Python, download the notebook and install the required libraries. We recommend using the Conda distribution of Python. Click the Run button at the top of this page, select the Run Locally option, and follow the instructions.

To save more time, we suggest to upload your Kaggle APi json file before starting to run the notebook.

When running for the first time you will encounter an error AttributeError: 'NotebookFormatter' object has no attribute 'get_result' just go on Runtime>Restart runtime press and restart the notebook without any error just by starting from the top with Jovian installation package.