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IntroNeuralNetworks
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
★777stars
Python
MIT
Updated: 1w ago
📋 Project at a Glance
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What's this?Learning & Resources project leveraging algorithmic-trading and data-science, built with Python, open-source
Who made it?Maintained by VivekPa team, 777⭐ on GitHub, #1566 out of 3640 in Learning & Resources
Why does it exist?The VivekPa team recognized that existing algorithmic-trading tools in Learning & Resources were hard to use. IntroNeuralNetworks was designed to make data-science more accessible.
What can it do?Key use cases: finance, guide, keras-tensorflow
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/VivekPa/IntroNeuralNetworks
🔗 github.com/VivekPa/IntroNeuralNetworks
Topics
algorithmic-tradingdata-sciencefinanceguidekeras-tensorflowlstm-neural-networksmachine-learningmlp-networksneural-networkpredictionprediction-modpythonquantitative-financeregression-modelsstock-price-predictionstock-pricestradingtrading-strategiestutorialyahoo-finance