Stock Price Prediction using LSTM & RNN
• Objective: Analyse the Stock dataset. Find the increasing or decreasing trend of the stock prices. Predict the Stock Value for Next Day based on Previous Values.
• Model: LSTM and RNN.
• Libraries: NumPy, Pandas, Matplotlib, Plotly, Scikit-Learn, Tensorflow.
• Dataset: NIFTY-50 Stock Market Data 2000-2021 (WIPRO).
• Exploratory Data Analysis on the Stock’s Closing price.
• Resultant variation in Original & Predicted values is just 0.014%.