arvindbetrabet / Practical_Statistics_for_Data_ScientistsLinks
This repository has the Python equivalent code for the book Practical Statistics for Data Scientists: 50 Essential Concepts, by Peter Bruce and Andrew Bruce. This 1st edition book, by O'reilly Media, is a compact reference that explains 50 of the main concepts, that every aspiring Data Scientists should know.
☆37Updated 7 years ago
Alternatives and similar repositories for Practical_Statistics_for_Data_Scientists
Users that are interested in Practical_Statistics_for_Data_Scientists are comparing it to the libraries listed below
Sorting:
- ☆48Updated 7 years ago
- ☆26Updated 7 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.☆83Updated 3 years ago
- An introduction to Bayesian statistics using Python and (coming soon) R.☆133Updated last year
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 6 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- ☆92Updated 5 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆78Updated last year
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- ☆30Updated 7 years ago
- ☆86Updated 7 years ago
- ☆108Updated 3 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- ☆123Updated 2 years ago
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- Repository for a workshop on Complexity Science☆39Updated 3 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 8 years ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago