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Stockey.AI

A basic example of building a Stock Prediction api using Tensorflow and Docker You can find the Original Tutorial or you can find the co-author tutorial at youtube Tutorial

Prerequisites :

  • Machine Learning & Deep Learning Knowlodge
  • Basics of Deep Learning Modeling
  • Vectors , Matrix , Arrays an Basics of Math

Requirements :

  • Python3

  • pip

  • Tensorflow

  • Keras

  • Docker

  • tqdm

  • Numpy

  • Sklearn

Features :

  • Data Modeling
  • Meta Labeling Method
  • Deep Learning Modeling +76% Accuracy Model

which questions this tutorial answerd :

  • What is Stock Prediction ?
  • How to Stock Prediction Modeling using Tensorflow ?
  • What it Tensorborad ?
  • How to Make an live api from my model ?

Getting Start :

Star Project Before Clone Project

1) Start Hacking

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Stock Prediction API Based on Tensorflow Framework

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