datadistiller Goto Github PK

ab-framework

Notes and Python scripts for A/B or Split Testing

audittotext

Covert audio material into text and then extract entities and ideas explained in Audio material such as Letter to America

bayesian-data-analysis

Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.

bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

bayesian-model-evaluation

Presented at Scipy Conference 2019

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesian-workflow-with-pymc

Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019

bda_py_demos

Bayesian Data Analysis demos for Python

bergvca.github.io

big-mac-data

Data and methodology for the Big Mac index

buckleys-pycon2019

clean-code-python

:bathtub: Clean Code concepts adapted for Python

code-reference-repository

Work notes for a consolidated reckoner of commonly used code. Just saves a few mins of google search. Of course, meant for the newbies and rookies.

code_snippets

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-ppf.github.io

website

dataacquisition

PDF to Structured Text, Data Frame, JSON

datadistiller.github.io

duckdb

DuckDB is an in-process SQL OLAP Database Management System

encoding

essays-on-data-science

In which I put together my thoughts on the practice of data science.

facedetection

Easy face detection using openCV

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

fluent-python-notebooks

Jupyter notebooks and example code for the book Fluent Python

fundholdings

Python web crawler to pull fund holdings from the SEC EDGAR database

fuzzy_string_matching

geopy

Use GeoPy to get GeoCodes from Address location

getcards

Notebook to download machine learning flashcards

google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

gower-s-distance

Gower's disatance is a measure to find the similarity between two rows of a dataset consisting of mixed type attributes. It uses the concept of Manhattan distance for continuous variables and dice distance for measuring similarity for Binary variables.