From the course: Delivering Data-Driven Decisions with AWS: Applying Machine Learning, Data Engineering, and Generative AI

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Linear regression with Jupyter Notebook

Linear regression with Jupyter Notebook

From the course: Delivering Data-Driven Decisions with AWS: Applying Machine Learning, Data Engineering, and Generative AI

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Linear regression with Jupyter Notebook

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- [Instructor] In this demo, we'll be performing linear regression and we'll be using a data set from kaggle.com, which is New York City Airbnb 2023. And I've also included this file in the exercise files, which you may refer to at any time. And so, we'll be using a Jupyter Notebook for linear regression. And let's have a quick look at this data set. So, we've got columns such as name, host name, neighborhood, longitude, latitude, room type, got some integers and dates as well, host details, number of reviews. So, you're more than welcome to use a Jupyter Notebook in Anaconda or of your environment, but we will be using Google Colab today, so that we don't need to install any Python environments. So, I've already uploaded a Jupyter Notebook and what we'll do is we'll connect to Google Colab. Which won't be long and then we'll upload the CSV file. So, just click here. And I'll just upload the dataset, Airbnb. And we'll just…

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