Sprint Instructions for scikit-learn Vol 2

More details about how to successfully participate in an open source sprint with scikit-learn. Check out Vol 1 here: https://youtu.be/5OL8XoMMOfA And a walk-through for a first pull request by Reshama Shaikh: https://www.youtube.com/watch?v=PU1WyDPGePI&feature=youtu.be...

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Scikit-learn sprint instructions

These are instructions for how to participate in a scikit-learn sprint and how to start working on a new open source project! Full transcript for this video is available here, courtesy of Reshama Shaikh:...

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Channel Intro - Applied Machine Learning

Welcome! Check out the Applied Machine Learning 2020 playlist. The class website is here: https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/ Jake's Data Science Handbook is here: https://jakevdp.github.io/PythonDataScienceHandbook/ And my book is here:...

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Applied ML 2020 - 21 - Time Series and Forecasting

Class materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

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Applied ML 2020 - 20 - Advanced neural networks

Class materials are at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

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Applied ML 2020 - 19 - Keras and Convolutional neural nets

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Applied ML 2020 - 18 - Neural Networks

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Applied ML 2020 - 17 - Word vectors and document embeddings

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Applied ML 2020 - 16 - Topic models for text data

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Applied ML 2020 - 15 - Working with Text Data

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Applied ML 2020 - 14 - Clustering and Mixture Models

Course materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

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Applied ML 2020 - 13 - Dimensionality reduction

PCA, linear discriminant analysis, manifold learning

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Applied ML 2020 - 12 - AutoML (plus some feature selection)

The second part of the feature selection lecture, plus an overview of automl approaches. Sorry for the chat window, I didn't realize that was recorded as well. I'll see if I can change that in the future.

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Applied ML 2020 - 11 - Model Inspection and Feature Selection

Course materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

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Applied ML 2020 - 10 - Calibration, Imbalanced data

Class materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/

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