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See my Github page for my full Python code (written in Jupyter Notebook). Import Libraries and Load Dataset First, we need to import some libraries: pandas (loading dataset), numpy (matrix manipulation), matplotlib and seaborn (visualization), and sklearn (building classifiers).CBOE Volatility Index (VIX) time-series dataset including daily open, close, high and low. Python 40 23 1 0 Updated Apr 14, 2021 glacier-mass-balance Public Author: HuggingFace Inc. Tags datasets, machine, learning, datasets, metrics. efficient data pre-processing: simple, fast and reproducible data pre-processing for the above public datasets as by python-xy. Python (x,y) is a free scientific and engineering development software for numerical computations, data analysis and data visualization based on Python programming language, Qt graphical user interfaces and Spyder interactive scientific development environment. Python programming language.xarray: N-D labeled arrays and datasets in Python. xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy -like arrays, which allows for a more ...PyTorch provides two data primitives: and that PyTorch domain libraries provide a number of pre-loaded datasets (such as FashionMNIST) that...Then host your Git repositories on GitHub, and use GitHub Actions as your CI/CD platform to build and test your Python applications. GitHub Actions lets you easily deploy your Python apps to the cloud too, with direct integrations into Azure App Service, Azure Functions, and Azure Kubernetes Services, and dozens more.Using Github Application Programming Interface v3 to search for repositories, users, making a commit, deleting a file, and more in Python using requests and PyGithub libraries.