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Johann Hamel-Akré (johann-ha)

johann-ha

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Company:Aikan

Location:Caen, FR

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Johann Hamel-Akré's starred repositories

fastai

The fastai deep learning library

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25966Issues:609Issues:1792

data-science-from-scratch

code for Data Science From Scratch book

Language:PythonLicense:MITStargazers:8505Issues:640Issues:84

sktime

A unified framework for machine learning with time series

Language:PythonLicense:BSD-3-ClauseStargazers:7648Issues:103Issues:2442

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

Language:PythonLicense:BSD-3-ClauseStargazers:2999Issues:119Issues:434

category_encoders

A library of sklearn compatible categorical variable encoders

Language:PythonLicense:BSD-3-ClauseStargazers:2391Issues:38Issues:289

sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

Language:PythonLicense:NOASSERTIONStargazers:1310Issues:48Issues:433

pixiedust

Python Helper library for Jupyter Notebooks

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1036Issues:41Issues:425

Agile_Data_Code_2

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Language:Jupyter NotebookLicense:MITStargazers:456Issues:45Issues:99

xam

:dart: Personal data science and machine learning toolbox

Language:PythonLicense:MITStargazers:362Issues:21Issues:8

Applied-Deep-Learning-with-Keras

Deep Learning examples with Keras.

Language:Jupyter NotebookStargazers:300Issues:14Issues:6

taxi

Winning entry to the Kaggle taxi competition

Language:PythonStargazers:260Issues:23Issues:18

pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

Language:HTMLLicense:MITStargazers:233Issues:15Issues:1

api_ner

API for Tensorflow model in Flask

Language:PythonLicense:Apache-2.0Stargazers:102Issues:7Issues:5

mlcomp

Website for standardized execution and evaluation of algorithms on datasets.

Language:RubyLicense:NOASSERTIONStargazers:36Issues:4Issues:17

RFM_analysis

RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promotions and also for future personalization services.

Language:Jupyter NotebookStargazers:21Issues:2Issues:0

PathTools

A collection of tools and algorithms suitable to work with paths (e.g., navigational)

Language:PythonStargazers:17Issues:5Issues:1

programming-notes

for Python, data science, and C++

Language:Jupyter NotebookStargazers:16Issues:1Issues:1