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
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
tips-machine-learning
Andrew Ng's machine learning course.
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.
Stock Price Prediction Using Quandl in 5 Steps
Machine learning tutorials
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