GvKl's repositories

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deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

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ecbapi

European Central Bank Statistical Data Warehouse API

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FredR

FredR: R Interface to Federal Reserve Economic Data API

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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latex

LaTeX Packages and templates

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lotka-volterra-plotter

A Python application for plotting Lotka-Volterra equations.

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Principles-of-Machine-Learning-Python

Principles of Machine Learning Python

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Principles-of-Machine-Learning-R

Principles of Machine Learning R

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PRML

PRML algorithms implemented in Python

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PRML-1

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

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py4fi2nd

Jupyter Notebooks and codes for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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scipy-lecture-notes

Tutorial material on the scientific Python ecosystem

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SSMC

a Monte Carlo simulation code for classical spin systems like the Ising model

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stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

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WorldBankAPI

R Wrapper Functions for World Bank API

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