Project VII : Tesla Stock Price Prediction

Aim of the Project

To predict the Stock Price of Tesla Company using Closing Price from the Tesla Stock Price Dataset

Life Cycle of the Project

  1. Referred the Tesla Stock Price dataset from Kaggle

  2. Used the feature which included the Closing Stock Prices from the dataset

  3. Built a Recurrent Neural Network model using LSTM to forecast the future Stock Prices of the Tesla Company

  4. Trained the DL model on 1117 records and tested it on 575 records

Technologies Used

| Python | Tensorflow | Keras | RNN | LSTM | Sci-kit Learn |

| Pandas | Math | Matplotlib | Numpy |

Performance of the Model

  • Training RMSE = 7.00
  • Testing RMSE = 11.91

GitHub Link