Alternatives and similar repositories for ProgrammingForAnalytics

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

• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆357Updated 5 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆199Updated 2 years ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆294Updated last week
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆506Updated 10 months ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆415Updated 3 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆248Updated 3 months ago
• sithankanna / ultimate-product-ds
  The Ultimate Product Data Science & Analytics Resource
  ☆68Updated 3 years ago
• jcrouser / islr-python
  ☆110Updated 3 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆544Updated 3 years ago
• springboard-curriculum / featuretools
  Adapted exercise from here: https://github.com/Featuretools/predict-customer-churn/blob/master/churn/3.%20Feature%20Engineering.ipynb
  ☆24Updated 9 months ago
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆13Updated 2 years ago
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆366Updated 2 years ago
• matthewbrems / missing-data-workshop
  Matt Brems' Missing Data Workshop
  ☆83Updated 2 years ago
• catherinenelson1 / SEforDS
  Code for the book "Software Engineering for Data Scientists"
  ☆91Updated 3 weeks ago
• hpcgarage / prymer
  A Python primer for Georgia Tech's CSE 6040/x: Computing for Data Analysis
  ☆29Updated 3 years ago
• shawn-y-sun / Credit_Risk_Model_LoanDefaults
  Credit Risk Modeling to Compute Expected Loss of Loans (logistic regression, linear regression)
  ☆27Updated last year
• bjherger / Uber-DS-Challenge
  Uber provided Data Science take home
  ☆92Updated 9 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆311Updated 5 years ago
• phylliswany / DS-Interview-Preparation
  ☆44Updated 2 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆211Updated 3 months ago
• solegalli / feature-engineering-for-machine-learning
  Code repository for the online course Feature Engineering for Machine Learning
  ☆396Updated last year
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆899Updated 4 years ago
• springboard-curriculum / awesome-springboard-capstones
  Place for collecting great projects/capstones from previous springboard students.
  ☆52Updated 3 years ago
• adijo / data-science-prep
  Problems from https://datascienceprep.com/
  ☆124Updated 4 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆126Updated 7 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 2 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆335Updated last year
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆182Updated last year
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago