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House Price Prediction with Linear Regression

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In this assignment, we're going to predict the price of a house using information like its location, area, no. of rooms etc. we'll use the dataset from the House Prices - Advanced Regression Techniques competition on Kaggle. We'll follow a step-by-step process to train our model:

  1. Download and explore the data
  2. Prepare the dataset for training
  3. Train a linear regression model
  4. Make predictions and evaluate the model
!pip install jovian scikit-learn --upgrade --quiet
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import jovian
jovian.commit(project='python-sklearn-assignment', privacy='secret')
[jovian] Detected Colab notebook... [jovian] Please enter your API key ( from https://jovian.ai/ ): API KEY: ·········· [jovian] Uploading colab notebook to Jovian... Committed successfully! https://jovian.ai/victoromondi1997/python-sklearn-assignment

Let's begin by installing the required libraries: