ageron /
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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erik-menke / repository
A series of jupyter notebooks to help chemistry students learn python for analytical chemistry
A series of jupyter notebooks and associated data files to help chemistry students learn to use python for solving analytical chemistry problems. These notebooks were first used in the Fall, 2018 Analyical Chemistry course (CHEM 115) at UC Merced. Completed notebooks with solutions for instructors can be requested by emailing Prof. Erik Menke at erik.menke@mines.edu. Descriptions of these notebooks, as well as details about implementation, are published at J. Chem. Ed.
These notebooks can be accessed via Binder by clicking the blue badge above or at the following URL: https://mybinder.org/v2/gh/erik-menke/AnalyticalProjects/master
Please note that, due to file size limitation on GitHub, the data file necessary for Notebook3 isn't available so that notebook won't run on Binder.
Selected from shared topics, language and repository description—not editorial ratings.
ageron /
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ageron /
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
DeqianBai /
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
markjay4k /
A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
andymcdgeo /
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.