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Vamshi Chollati's repositories

bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

Language:Jupyter NotebookMIT000

This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas.

Language:Python020

Data-Science-45min-Intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

Language:PythonUnlicense000

data_science_fun_conference_2015_pandas_in_a_hurry

iPython notebooks and data files for the 'Pandas in a Hurry' tutorial of the 2015 San Diego Data Science Fun Conference

Unlicense020

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

Language:HTMLNOASSERTION020

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

Language:TeX020

Neural-Networks-Demysitifed

Supporting code for short YouTube series Neural Networks Demystified.

Language:Python000

numpy-100

100 Numpy exercises

Language:CSS020

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:PythonMIT020