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www.gregreda.com
| | senthil.learntosolveit.com

This is a coin flip simulator. It compare theoretical binomial distribution with experimental results. listings/python/coinflip.py (Source) import random import math import matplotlib.pyplot as plt
4.5 parsecs

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| | antoinevastel.com

How to automatically explore a bot/proxy IP blocklist and extract statistics using Git-python and Matplotlib.
7.3 parsecs

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| | gouthamanbalaraman.com

Discusses simulation of the Hull White interest rate term structure model in QuantLib Python
6.3 parsecs

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| | blog.otoro.net

[AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ...
22.4 parsecs

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