This data analysis notebook demonstrates lossless, lossy visualizations techinques, and classification methods. We demonstrate analysis of scientific data on hot-swappable datasets.
-
Updated
May 20, 2024 - Jupyter Notebook
This data analysis notebook demonstrates lossless, lossy visualizations techinques, and classification methods. We demonstrate analysis of scientific data on hot-swappable datasets.
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
Add a description, image, and links to the data-classification topic page so that developers can more easily learn about it.
To associate your repository with the data-classification topic, visit your repo's landing page and select "manage topics."