STOCK-PRICE-PREDICTION-FORD-MOTORS-LSTM

#Task:

Build timeseries model to predict Ford Motors stock price

Description

The project is done to predict the Ford Motors stock price using historical data. The data was gotten using datareader api. The following steps where performed:

1. Load data
2. apply min-max scaler
3. Creating Data with Timesteps
4. LSTM Model
5. Prediction with test data and plotting of test against train data
6. make prediction for next 30 days

Run Locally

Run this command on ur command line:https://github.com/Raph-09/STOCK-PRICE-PREDICTION-FORD-MOTORS-LSTM-.git

Install the packages that are found #Tech stack

Tech Stack

sklearn

keras

pandas

numpy

matplotlib

seaborn