Code and exercises of the Machine Learning Crash Course
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Updated
Jun 28, 2018 - Python
Code and exercises of the Machine Learning Crash Course
Bootcamp python organised by 42's association 42AI
《机器学习实战》Python3实现
Shallow and Deep Learning resources. Programming Language: Python 3.7 and R | IDE: Jupyter Notebook and RStudio
PRML algorithms implemented in Python
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
Collection of notebooks for learning Machine Learning
We fit a one-input, one-output function with a simple neural network model.
Code, text and notebooks on a tutorial for Introduction to Machine Learning using open sources
This is a part of the 100DaysOfCode challenge. It is created with intentions to make projects while committing to the challenge.
From just cab, to Smart-Cab
A collection of course resources/materials from Machine Learning tutorials
Machine Learning library using what I learned from CS4780, using NumPy only. It supports Bayesian inference, kernelization, ensembles, deep learning, convolutional NN, and Transformers.
Andrew Ng's machine learning course.
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
tips-machine-learning
Machine learning tutorials
Repositorio para as soluções de problemas propostos no site HackerEarth na categoria machine learning
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