kmtk49

kmtk49

Geek Repo

Location:Tokyo, Japan

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kmtk49's repositories

100knocks-preprocess_ForColab-AzureNotebook

データサイエンス100本ノック(構造化データ加工編)For Azure_Notebook/Google_Colabo

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alife_book_src

「作って動かすALife - 実装を通した人工生命モデル理論入門」サンプルコード

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backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

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data-science-from-scratch

code for Data Science From Scratch book

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deep-learning-from-scratch-2

『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

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discordpy-startup

Herokuでdiscord.pyを始めるテンプレート

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dl-in-a-sec

2019年5月発刊『図解速習DEEP LEARNING』(シーアンドアール研究所)のサポートサイトです。

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example-scripts

The official example scripts for the Numerai Data Science Tournament

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

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ipython-books.github.io

IPython books website, by Cyrille Rossant

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nomeroff-net

Nomeroff Net. Automatic numberplate recognition system.

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practical-statistics-for-data-scientists

Code repository for O'Reilly book

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Practical-Statistics-for-Data-Scientists-with-MATLAB

This repository provides MATLAB code for the computation described in the book "Statistics for Data Scientists: 50 Essential Concepts." Original R code and data can be found here. https://github.com/andrewgbruce/statistics-for-data-scientists

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pycaret

An open-source, low-code machine learning library in Python

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stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

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StudyAI

report for rabbit challenge 2022#1

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