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

Agile_Data_Code_2

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

Language:Jupyter NotebookLicense:MITStargazers:456Issues:0Issues:0

sktime

A unified framework for machine learning with time series

Language:PythonLicense:BSD-3-ClauseStargazers:7581Issues:0Issues:0

Applied-Deep-Learning-with-Keras

Deep Learning examples with Keras.

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mlcomp

Website for standardized execution and evaluation of algorithms on datasets.

Language:RubyLicense:NOASSERTIONStargazers:36Issues:0Issues:0

category_encoders

A library of sklearn compatible categorical variable encoders

Language:PythonLicense:BSD-3-ClauseStargazers:2384Issues:0Issues:0

fastai

The fastai deep learning library

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25868Issues:0Issues:0

xam

:dart: Personal data science and machine learning toolbox

Language:PythonLicense:MITStargazers:360Issues:0Issues:0

api_ner

API for Tensorflow model in Flask

Language:PythonLicense:Apache-2.0Stargazers:102Issues:0Issues:0

data-science-from-scratch

code for Data Science From Scratch book

Language:PythonLicense:MITStargazers:8450Issues:0Issues:0

taxi

Winning entry to the Kaggle taxi competition

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programming-notes

for Python, data science, and C++

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pycon-2017-eda-tutorial

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

Language:HTMLLicense:MITStargazers:233Issues:0Issues:0

pixiedust

Python Helper library for Jupyter Notebooks

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1036Issues:0Issues:0

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.

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sparkmagic

Jupyter magics and kernels for working with remote Spark clusters

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PathTools

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

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hmmlearn

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

Language:PythonLicense:BSD-3-ClauseStargazers:2981Issues:0Issues:0