Alternatives and similar repositories for ProgrammingForAnalytics:

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

• UCB-MIDS / w241
  This is the course repository for w241 and 290 -- Experiments and Causality.
  ☆17Updated 3 years ago
• ewharton / ab-testing-resources
  ☆80Updated 10 months ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 4 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• sandipanpaul21 / Logistic-regression-in-python
  Logistic Regression technique in machine learning both theory and code in Python. Includes topics from Assumptions, Multi Class Classific…
  ☆17Updated 3 years ago
• drivendataorg / pover-t-tests
  ☆27Updated last year
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆341Updated 5 years ago
• BlueOwlOpenSource / simple-tech-challenges
  Holds instructions and datasets for simple tech challenges
  ☆19Updated 3 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆458Updated last year
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆82Updated 2 years ago
• takechanman1228 / mmm_pydata_global_2022
  ☆27Updated last year
• aymanzay / HackerRank-Data-Science
  Data Science/Machine Learning Solutions in Python3
  ☆19Updated 5 years ago
• dssg / dsapp-reading-group
  Proceedings of the Center for Data Scientists arguing (about) Public Papers
  ☆17Updated 6 years ago
• jcrouser / islr-python
  ☆108Updated 3 years ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆389Updated last year
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆206Updated 2 years ago
• phylliswany / DS-Interview-Preparation
  ☆40Updated 2 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆676Updated 9 months ago
• rajshah4 / inter_workshop
  Workshop materials for ODSC 2019 Interpretability Talk
  ☆25Updated 4 years ago
• numeristical / resources
  A collection of resources for learning and research.
  ☆92Updated 5 months ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆504Updated 4 years ago
• mattharrison / effective_xgboost_book
  ☆280Updated last year
• leodema / nlp_fundamentals
  ☆12Updated 4 years ago
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆65Updated 3 years ago
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 8 years ago
• shubhamlal11 / Udacity-AB-Testing-Final-Project
  This project aims at analyzing two different versions of Udacity website and determining which version of the website will bring more tra…
  ☆50Updated 8 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆242Updated 2 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆300Updated last year
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆126Updated 7 years ago
• olivierzach / GTx_6501
  Introduction to Analytics Modeling - Georgia Tech OMDS
  ☆52Updated 5 years ago