Alternatives and similar repositories for mlhub

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

• duarteocarmo / automation-post
  📝 A blog post about report generation and automation in python
  ☆40Updated 6 years ago
• chekos / blog-posts
  This is a repository of code and datasets for blog posts or articles I've written.
  ☆12Updated 7 years ago
• robjhyndman / ForecastingWorkshop
  Slides for 3-day forecasting workshop
  ☆19Updated 7 years ago
• microsoft / acceleratoRs
  Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics …
  ☆147Updated 3 years ago
• fonnesbeck / ngcm_pandas_2017
  Python data analysis course for 2017 NGCM Summer Academy
  ☆21Updated 8 years ago
• sachinruk / bayes_school
  ☆16Updated 6 years ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 12 years ago
• AlexRieber / datascience-teaching
  Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University
  ☆18Updated 5 years ago
• icme / cme193
  Introduction to Scientific Python
  ☆15Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆68Updated 8 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 6 years ago
• ModelOriented / DALEX-docs
  Documentation for the DALEX project
  ☆36Updated last year
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• PacktPublishing / Neural-Networks-with-R
  Neural Networks with R, published by Packt
  ☆35Updated 3 years ago
• PacktPublishing / Data-Science-Algorithms-in-a-Week
  Data Science Algorithms in a Week, published by Packt
  ☆37Updated this week
• tdpetrou / Book-Reviews
  ☆26Updated 8 years ago
• PhilChodrow / cos_2017
  Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"
  ☆19Updated 8 years ago
• AllenDowney / ProbablyOverthinkingIt2
  New repo for projects related to my blog, Probably Overthinking It.
  ☆18Updated 4 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• RamiKrispin / MLstudio
  The ML Studio Package
  ☆71Updated 7 years ago
• business-science / workshop_2018_dsgo
  DataScienceGO 2018 - Machine Learning Workshop
  ☆14Updated 7 years ago
• joshkyh / amss
  Learn Bayesian Regression on simulated dataset
  ☆10Updated 7 years ago
• baogorek / Miscellaneous
  Miscellaneous coding examples for reference
  ☆14Updated 5 months ago
• dipanjanS / stanford-statistical-learning
  Slides, material and solutions of the popular Statistical Learning course from Stanford's own Hastie & Tibshirani. Join me on my journey …
  ☆16Updated 7 years ago
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• CatalystCode / JupyterCon2017
  Notebook Narratives for Industry from 2017 JupyterCon
  ☆14Updated 8 years ago
• JeffreyRacine / R-Package-crs
  R package crs (Categorical Regression Splines)
  ☆17Updated last week
• LeihuaYe / Statistical_Simulation_In_Python
  ☆13Updated 4 years ago