Google Stock Price Prediction Using Recurrent Neural Network RNN Project | Deep Learning Project
In this video, we dive deep into a Data Science project focused on predicting Google stock prices using Recurrent Neural Networks (RNNs). We’ll guide you through the entire process, from data preprocessing to building and training the RNN model, and finally, making accurate stock price predictions. Whether you're a beginner or an experienced data scientist, this tutorial will help you understand the power of deep learning in financial forecasting.
Download First Dataset:- https://github.com/SACHINSIROHI47/Dat...
Download Second Dataset:- https://github.com/SACHINSIROHI47/Dat...
What you’ll learn:
Understanding Recurrent Neural Networks (RNN)
Data preprocessing and feature scaling
Building and training an RNN model using Python and TensorFlow/Keras
Making stock price predictions
Evaluating model performance
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