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:
- Few tutorials on pandas, matplotlib and seaborn☆27Updated 9 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 7 years ago
- PyData NYC 2017: Pandas Head to Tail☆57Updated 7 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- ☆48Updated 6 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).☆151Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- ☆26Updated 7 years ago
- Data Science Algorithms in a Week, published by Packt☆35Updated 2 years ago
- An analysis of 93,000+ data science freelancers☆57Updated 8 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 8 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆54Updated 4 years ago
- ☆47Updated 8 years ago
- A Little Book of Python for Multivariate Analysis☆88Updated 9 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Doing the tutorial from Brandon Rhodes PyCon 2015☆15Updated 9 years ago
- ☆30Updated last year
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…☆33Updated 7 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 9 years ago