Stock-Price-Predictor

Predicts the price of a single stock using LSTM (Long short-term memory)

The following model Predicts the price of any given stock (I have taken GOOGL) by using data from previous 3 years.
Of this 3 years of data, 60% is training set, 20% is dev set, and the rest is test set.
This model uses StandardScalar.

To run this model:

1. Clone this Repository.
2. Download the Dataset of the organization whose stock you want to predict (Preferably of last 3 years atleast) from (https://finance.yahoo.com/)
3. Rename this .csv file to "data.csv"
4. Copy and Replace this file with the existing data.csv file in "data" subfolder.
5. Run the Jupyter notebook.