Building a Stock Price Predictor using LSTM in Keras
LSTM Stock Price Prediction — Time Series Forecasting, Deep Learning, Data Preprocessing, and Google Colab Deployment
5.00 (1 reviews)
60
students
1 hour
content
Apr 2025
last update
$54.99
regular price
What you will learn
Understand the fundamentals of time series forecasting with LSTM (Long Short-Term Memory) models
Collect and visualize stock price data using Yahoo Finance and Matplotlib
Preprocess financial data and apply feature scaling techniques
Create sequence datasets suitable for LSTM networks
Build and train an LSTM-based neural network using TensorFlow/Keras
Apply model checkpointing and early stopping for optimal performance
Make future predictions and rolling forecasts of stock prices
Visualize model performance and export predictions to CSV
Save trained models and scalers to Google Drive for future use
Evaluate model performance using RMSE and MAE metrics
Screenshots
6556381
udemy ID
4/5/2025
course created date
4/23/2025
course indexed date
Bot
course submited by