The "Hello World" of machine learning with the iris classification dataset, coded in Python
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Updated
Jul 11, 2017 - Python
The "Hello World" of machine learning with the iris classification dataset, coded in Python
Introduction to simple machine learning, deep learning and geometric deep learning concepts and methods.
AI人工智能、深度学习、机器学习超详细入门教程。从零开始学算法,进入大厂拿offer
Colorize black & white images, using machine learning in Python
Machine Learning from Scratch Presentation
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
This repo contains examples of how to use Simulink simulation to perform simulation-based inference calculations 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
Creating a logistic regression algorithm without using a library and making cancer classification with this algorithm model (Kaggle Explained)
We fit a one-input, one-output function with a simple neural network model.
🧠🤖 Want to learn how to build neural networks from scratch? Follow along and create your own machine learning library.
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
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