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prepare_dataset_challenge

This is the code for"The best way to prepare a dataset easily " by @Sirajology on Youtube

presentations

Repo for public presentations from CHOP's Analytics team

pro_hack2020

Team05 solution to the PROCHACK 2020 contest

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 ;)

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

prohack-mckinsey-2020

solution for prohack 2020 hackathon McKinsey having leaderboard score of 0.04271993

prohack-solution---d1d-team

Our solution to the data science hackathon by McKinsey, Prohack by our team D1D, which was ranked 4th on public leaderboard and 25th on private leaderboard.

projectinitializationautomation

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pscn

A python implementation of Patchy-San Convolutional Network for Graph

pulse-classification-svm

Classification of emotions based on age and pulse rate using Support Vector Machines

pump-it-up

Code from winning competitors in the Pump it Up competition on DrivenData.

pureneuralnetwork

Neural network written from ground up with no special 3rd party libraries

py-graph

pybloof

A high performance python bloom filter thing.

pycaret-deployment-google

PyCaret deployment on Google Cloud Platform

pycon

Website for PyCon 2014

pycon-2016-tutorial

Machine Learning with Text in scikit-learn

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

pycon-2019-tutorial

Data Science Best Practices with pandas

pycon2016_talk

The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting

pycountry

A Python library to access ISO country, subdivision, language, currency and script definitions and their translations.

pydata-chi-h2t

Materials for the pandas tutorial at PyData Chicago 2016

pydata-dc-2016-tutorial

Tutorial: Machine Learning with Text in scikit-learn

pydata-docker-tutorial

Tutorial given at PyData LA 2018

pydata2014nyc

Materials for my pandas tutorial at PyData 2014, NYC

pydata_la_2018

Added repo for PyData LA 2018 tutorial

pydatadc_2018-tidy

PyData 2018 tutorial for tidying data

pyds

Notebooks, data, and examples supporting the Python for Data Science videos