Statistics is a mathematical discipline concerned with developing and studying mathematical methods for collecting, analyzing, interpreting, and presenting large quantities of numerical data. Statistics is a highly interdisciplinary field of study with applications in fields such as physics, chemistry, life sciences, political science, and economics.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Set of Jupyter (iPython) notebooks (and few pdf-presentations) about things that I am interested on, like Computer Science, Statistics and Machine-Learning, Artificial Intelligence (AI), Financial Engineering, Optimization, Stochastic Modelling, Time-Series forecasting, Science in general... and more.
This repo contains Jupyter Notebooks, miscellaneous stuff.
These are python notebooks accompanying Lessons available at GeostatisticsLessons.com
Probability and Statistics repository for Python code and coursework review
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
ipython notebooks from quantopian lectures series
Data Science Student Companion Notebooks and Data Lake
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Notebook tutorials
Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.
A collection of analytics methods implemented with Python on Google Colab
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
Interactive notebooks for R
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Jupyter notebooks for Genetics paper, "Detecting high-order epistasis in nonlinear genotype-phenotype maps"
A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.