Alternatives and similar repositories for msds689

Users that are interested in msds689 are comparing it to the libraries listed below

• parrt / msds692
  MSAN692 Data Acquisition
  ☆129Updated 4 years ago
• parrt / msds593
  MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco
  ☆25Updated 4 years ago
• parrt / msds501
  Course notes for MSDS501, computational boot camp, at the University of San Francisco
  ☆125Updated 4 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• parrt / ml-articles
  Articles on machine learning
  ☆65Updated 3 years ago
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆74Updated 6 years ago
• jeongyoonlee / kaggler-template
  Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
  ☆45Updated 5 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated 7 months ago
• parrt / fundamentals-of-deep-learning
  Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
  ☆77Updated 4 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• schmidtbri / simple-ml-model-abc
  Code demonstrating a simple Machine Learning model abstract base class and its uses.
  ☆14Updated 2 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆39Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 3 years ago
• rvaughan / DataInterviewQuestions
  ☆31Updated 6 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆111Updated 7 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆346Updated 3 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• brianspiering / nlp-course
  An introduction to Natural Language Processing (NLP) course
  ☆43Updated 3 years ago
• ai-fast-track / fastai-visual-guide
  Notebooks for Fastai Viusal Guide
  ☆25Updated 2 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆49Updated 5 years ago