Alternatives and similar repositories for byu_econ_applied_machine_learning:

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

• jcrouser / islr-python
  ☆107Updated 3 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆85Updated 8 years ago
• ShiningData / Springboard_Projects
  ☆8Updated this week
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 8 months ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆176Updated 9 months ago
• thomasjpfan / ml-workshop-intro
  Introduction to scikit-learn: Machine Learning in Python
  ☆20Updated 3 years ago
• hugobowne / bayesian-stats-simulation-tutorial
  Bayesian statistical modelling using numpy and PyMC3. Telling stories using the language of probability. And more!
  ☆16Updated 6 years ago
• jbernhard-nw / rec-workshop
  Getting started
  ☆18Updated 5 years ago
• scherala / 365DaysOfCoding
  ☆19Updated 5 years ago
• adashofdata / intro-to-text-analytics
  introduction to text analytics in python training for odsc west 2018
  ☆103Updated 6 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• chendaniely / pydatadc_2018-tidy
  PyData 2018 tutorial for tidying data
  ☆149Updated 6 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆76Updated last year
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆35Updated 4 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 2 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆72Updated 4 years ago
• kaburelabs / Datacamp-Courses
  Some of my notebooks of Datacamp courses.
  ☆131Updated 5 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• thomasjpfan / ml-workshop-intermediate-2-of-2
  ☆17Updated 3 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆76Updated 6 years ago
• TaddyLab / BDS
  Code and examples from Business Data Science
  ☆164Updated 4 years ago
• knathanieltucker / data-science-foundations
  ☆86Updated 2 years ago
• SocialDataAnalytics-Winter2018 / lab04
  Web scraping, APIs, and Twitter
  ☆34Updated 7 years ago
• bhattbhavesh91 / GA_Sessions
  A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
  ☆30Updated 5 years ago
• drivendataorg / pover-t-tests
  ☆27Updated last year
• UCB-MIDS / w241
  This is the course repository for w241 and 290 -- Experiments and Causality.
  ☆17Updated 4 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆196Updated 2 years ago