vchrombie / shuri

Stock Market Prediction :crystal_ball: using LSTM.

shuri

Analyzing and predicting the stock prices of Google using Artificial Recurrent Neural Network (RNN) architechture. This is a Regression problem.

This was made as a part of the project work for the course 15CSE481:Machine Learning and Data Mining Lab.

Why Shuri?

Because she is intelligent and likes to build new things with technology.

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Details about the project

Model used: Long Short-Term Memory (LSTM)

Tools Used: TensorFlow, Keras, Numpy, Pandas, Matplotlib

Language used: Python

Project: Open the Jupyter Notebook, stock-price-prediction.ipynb

Team Members

1. Venu Vardhan Reddy Tekula
2. Vinay Varma Nadimpalli
3. Sedimbi Satya Pramod