Alternatives and similar repositories for ritvikmath.github.io:

Users that are interested in ritvikmath.github.io are comparing it to the libraries listed below

• gbosquechacon / statrethink_course_in_pymc3
  Statistical Rethinking course in pymc3
  ☆143Updated 4 years ago
• cluhmann / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC code
  ☆21Updated last year
• 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
• john-science / scipy_con_2019
  Tutorial Sessions for SciPy Con 2019
  ☆278Updated 5 months ago
• ritvikmath / YouTubeVideoCode
  Code related to my YouTube vids!
  ☆244Updated 2 months ago
• numeristical / resources
  A collection of resources for learning and research.
  ☆91Updated 4 months ago
• ContextLab / storytelling-with-data
  Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
  ☆105Updated last year
• austinlasseter / flying-dog-beers
  ☆17Updated 2 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆309Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 7 months ago
• AllenDowney / empiricaldist
  Python library that represents empirical distribution functions.
  ☆165Updated 2 months ago
• felipegonzalez / aprendizaje-maquina-mcd-2019
  Notas y material para el curso de Aprendizaje de Máquina (ITAM, Otoño 2019)
  ☆12Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆156Updated 5 years ago
• keithmcnulty / peopleanalytics-regression-book
  Handbook of Regression Modeling in People Analytics
  ☆158Updated 2 months ago
• wbasener / BayesianML
  This is a GitHub repository for our Bayeisan Machine Learning textbook, which includes the PDF for the book and accompanying Python noteb…
  ☆24Updated 2 years ago
• thomasjpfan / ml-workshop-intermediate-2-of-2
  ☆17Updated 2 years ago
• junpenglao / PrecisionWorkshop1_Prep
  Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
  ☆58Updated 6 years ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 2 years ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆39Updated 7 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆99Updated 6 years ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆663Updated 2 years ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆68Updated 9 months ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 6 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆98Updated 2 years ago
• datacamp / datacamp_facebook_live_dataframed
  DataCamp Facebook Live Code Along Session 4: Learn techniques that guests on the DataFramed podcast say are their favourite. Enjoy!
  ☆24Updated 7 years ago
• falconair / ProgrammingForAnalytics
  Course material for an intro to programming class for analytics students
  ☆16Updated this week
• QuantEcon / lecture-python-programming.notebooks
  Notebooks for https://python-programming.quantecon.org
  ☆55Updated 2 weeks ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆41Updated this week
• drivendataorg / pover-t-tests
  ☆27Updated last year