Alternatives and similar repositories for 2019-CS109B:

Users that are interested in 2019-CS109B are comparing it to the libraries listed below

• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 5 years ago
• jcrouser / islr-python
  ☆108Updated 3 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• Harvard-IACS / 2018-CS109A
  Repository for CS109A Fall 2018
  ☆147Updated 4 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆78Updated last year
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• AM207 / 2018fall
  ☆38Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 7 months ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 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
  ☆73Updated 6 years ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 5 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆131Updated last year
• reshamas / ds_resources
  Data Science Resources
  ☆79Updated last week
• charlieblue17 / timeseries2018
  Course page for DS-GA 3001.001 Modeling Time Series Data
  ☆43Updated 6 years ago
• xia0nan / MITx-6.431x
  Probability - The Science of Uncertainty and Data
  ☆33Updated 6 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆76Updated 2 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆142Updated 4 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 2 years ago
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆115Updated 7 years ago
• brianspiering / nlp-course
  An introduction to Natural Language Processing (NLP) course
  ☆39Updated 3 years ago
• cliburn / sta-663-2020
  ☆45Updated 4 years ago
• Harvard-IACS / 2020-CS109B
  ☆52Updated 4 years ago
• zhangry868 / Bayesian-Statistics
  Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.
  ☆20Updated 9 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆134Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆274Updated 8 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆35Updated 8 years ago