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This page contains interesting papers we collected throught the Web and are used for our coaching preparations and our specific consultancy activities. Download them for free and read them where you want!!!
This paper is a bible of cheat sheet in Python! It collect 12 different cheat sheet together in one single document: introduction, lists, dictionaries, if statements and while loops, functions, classes, files and exceptions, test your code, pygame, matplotlib, pygal and django.
This paper is a cheat sheet talking about Keras. Keras is a powerful and easy-to-use deep learning library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models.
This paper is a cheat sheet talking about Scikit-learn. Scikit-learn is an open source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface.
This paper is a cheat sheet talking about SciPy. The SciPy library is one of the core packages for scientific computing that provides mathematical algorithms and convenience functions built on the NumPy extension of Python
This paper is a cheat sheet talking about Pandas. The various illustrations provides an easy way to understand the syntax. Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
This paper is a Python course developed in 2009 at the University of Durham explaining tons of things on Python programming langage.
Linear regression is one of the fundamental statistical and machine learning technique. This paper talk about linear regression with Python: definition, packages, examples, how to implement