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
  ☆128Updated 3 years ago
• parrt / msds501
  Course notes for MSDS501, computational boot camp, at the University of San Francisco
  ☆124Updated 3 years ago
• parrt / msds593
  MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco
  ☆25Updated 3 years ago
• yanneta / msds630
  ☆18Updated last year
• yanneta / deep-learning-with-pytorch
  ☆49Updated 4 years ago
• mgruddy / DeepLearning_MSDS21
  The repository associated with MSDS631 at University of San Francisco in Summer 2021.
  ☆9Updated 2 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 3 years ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• brianspiering / nlp-course
  An introduction to Natural Language Processing (NLP) course
  ☆39Updated 3 years ago
• yanneta / ML-notebooks
  Here are notebooks for the advanced machine learning course for MSDS at USF.
  ☆46Updated last year
• paulintrevado / Exploratory-Data-Analysis-with-R
  MSDS 593
  ☆19Updated 6 years ago
• jdwilson4 / Regression-Analysis
  This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…
  ☆19Updated 7 years ago
• brianspiering / machine-learning-in-scikit-learn
  Introduction to machine learning in scikit-learn
  ☆13Updated 2 years ago
• parrt / fundamentals-of-deep-learning
  Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
  ☆76Updated 4 years ago
• DeltaAnalytics / machine_learning_resources
  Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…
  ☆25Updated 7 years ago
• DeltaAnalytics / machine_learning_for_good
  Machine learning fundamentals lesson in interactive notebooks
  ☆178Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• benjamin-du / fastpractice
  Exercises for FastAI v2
  ☆19Updated 4 years ago
• parrt / ml-articles
  Articles on machine learning
  ☆64Updated 2 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• yanneta / dl-course
  Notebooks for deep learning course
  ☆14Updated 3 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 3 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆109Updated 6 years ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 6 years ago
• radekosmulski / python_musings
  ☆36Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 3 years ago
• kirit93 / NumpyTutorial
  Notebooks for tutorial on Numpy.
  ☆60Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• timdavidlee / learning-deep
  All my deep learning notes: contains v1 of machine learning with Jeremy Howard, and v1 of Fastai Deep Learning 2018 part 1
  ☆69Updated 7 years ago