indimatthew

indimatthew's Stars

• WillKoehrsen/probabilistic-programming

  Experimenting with and teaching probabilistic programming

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• thomasjpfan/ml-workshop-advanced

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• leodema/nlp_fundamentals

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• iterative/course-checkpoints-project

  This is the project we use for the DVC educational course to demonstrate how checkpoints work.

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• yasheshshroff/ODSC2021_NLP

  Natural Language Processing Workshop at ODSC West 2021

  Language:Jupyter Notebook48

• PacktPublishing/Python-Natural-Language-Processing-Cookbook

  Python Natural Language Processing Cookbook, published by Packt

  Language:Python16498

• hadrienj/deepLearningBook-Notes

  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

  Language:Jupyter Notebook1.8k567

• ericmjl/Network-Analysis-Made-Simple

  An introduction to network analysis and applied graph theory using Python and NetworkX

  Language:Jupyter Notebook1k402

• jonkrohn/ML-foundations

  Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

  Language:Jupyter Notebook3.3k1.6k

• chaconnewu/free-data-science-books

  Free resources for learning data science

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• smasis001/odsc-west-2020

  Workshop for Open Data Science Conference West 2020

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• thedataincubator/topic-modeling-2020

  Public talk given at Toronto Big Data and AI 2020 conference, and also at ODSC West.

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• psc-g/intro_to_rl

  An introduction to reinforcement learning

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• numeristical/resources

  A collection of resources for learning and research.

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• AllenDowney/BayesMadeSimple

  Code for a tutorial on Bayesian Statistics by Allen Downey.

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• leodema/RL

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• thomasjpfan/ml-workshop-intro

  Introduction to scikit-learn: Machine Learning in Python

  Language:Jupyter Notebook2028

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10k6.7k

• UrbanInstitute/pyspark-tutorials

  Code snippets and tutorials for working with social science data in PySpark

  Language:Jupyter Notebook413184

• jonkrohn/DLTFpT

  Deep Learning with TensorFlow, Keras, and PyTorch

  Language:Jupyter Notebook577346

• sryza/aas

  Code to accompany Advanced Analytics with Spark from O'Reilly Media

  Language:Scala1.5k1k

• lgreski/datasciencectacontent

  repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

  Language:HTML6381.6k