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 kaveh.page
S&P 500 Winning Streaks | Kaveh's Blog
| | teddykoker.com
Multi-Class Classification with Logistic Regression in Python | Teddy Koker
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| | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need:
| | gist.github.com
Implementing a Network-based Model of Epilepsy with Numpy and Numba. Code for https://danielegrattarola.github.io/posts/2019-10-03/epilepsy-model.html ยท GitHub
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| | Implementing a Network-based Model of Epilepsy with Numpy and Numba. Code for https://danielegrattarola.github.io/posts/2019-10-03/epilepsy-model.html - eeg_generator_numba.py
| | senthil.learntosolveit.com
Coin Flip Simulator | Senthil Kumaran
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| | 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
| | runswiththedug.wordpress.com
Nepal Photos | runswiththedug
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