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21 lines
1.5 KiB
21 lines
1.5 KiB
# Data Science in the Cloud
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Photo by [Jelleke Vanooteghem](https://unsplash.com/@ilumire) from [Unsplash](https://unsplash.com/s/photos/cloud?orientation=landscape)
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When it comes to doing data science with big data, the cloud can be a game changer. In the next three lessons, we are going to see what the cloud is and why it can be very helpful. We are also going to explore a heart failure dataset and build a model to help assess the probability of someone having a heart failure. We will use the power of the cloud to train, deploy and consume a model in two different ways. One way using only the user interface in a Low code/No code fashion, the other way using the Azure Machine Learning Software Developer Kit (Azure ML SDK).
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### Topics
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1. [Why do Data Science in the Cloud?](17-Introduction/README.md)
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2. [Data Science in the Cloud: The "Low code/No code" way ](18-Low-Code/README.md)
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3. [Data Science in the Cloud: The "Azure ML SDK" way ](19-Azure/README.md)
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### Credits
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These lessons were written with ☁️ and 💕 by [Maud Levy](https://twitter.com/maudstweets) and [Tiffany Souterre](https://twitter.com/TiffanySouterre)
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Data for the Heart Failure Prediction project is sourced from [
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Larxel](https://www.kaggle.com/andrewmvd) on [Kaggle](https://www.kaggle.com/andrewmvd/heart-failure-clinical-data). It is licensed under the [Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) |