Photo by Jelleke Vanooteghem from Unsplash
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).
- Why use Cloud for Data Science?
- Data Science in the Cloud: The "Low code/No code" way
- Data Science in the Cloud: The "Azure ML SDK" way
These lessons were written with ☁️ and 💕 by Maud Levy and Tiffany Souterre
Data for the Heart Failure Prediction project is sourced from Larxel on Kaggle. It is licensed under the Attribution 4.0 International (CC BY 4.0)