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easyNeuron

easyNeuron is the new, easy way to create, analyze and program machine learning 🧠 models.

Table of Contents 📝

• Table of Contents 📝
• Features ✅
• History ⌛
  • Naming Conventions 🧾
• Contributing ➕
• Project Stats 📈

Features ✅

• ❌ Models
  • ❌ Linear Regression
  • ❌ Logistic Regression
  • ❌ Decision Trees
  • ❌ Random Forest
  • ❌ Adaboost
  • ❌ K-Nearest Neighbours
  • ❌ K-Means Clustering
  • ❌ Neural Networks

History ⌛

easyNeuron was created in 2021 by @Neuron-AI, aiming to create an easy experience for all ML engineers, with any and all of the newly developed algorithms from Neuron AI.

Naming Conventions 🧾

Mostly, the names of modules are universal, but, there was some choice of the maths section of the module. In the end, the maths section is known as easyneuron.math rather than easyneuron.maths (as we are a British group), since there is such a large population who'll use this knowing American English, and it is quicker to type the American version anyway.

Contributing ➕

Like 👍 this project? Want to contribute to it? Why not put up a pull request with your code changes on it.

Note: Please read the Contributing Guidelines and the appropriate code style document (linked to in CONTRIBUTING.md).

Project Stats 📈

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