Predict Stock price using Machine Learning / ANN - LSTM Model
At ExcelOnlineHelp.com, we explore how AI and Machine Learning techniques can be applied — purely for educational purposes. Our goal is to help learners understand how data-driven models work — This is not to provide financial or investment advice.
How Model is built:
Data Collection & Cleaning – imports stock data using Python libraries like yfinance.
Feature Engineering – Creates normalize data.
Model Building – Understanding and building a neural network (LSTM or GRU) for time-series prediction.
Visualization & Evaluation – Plot predictions, compare against actual values.
Practical Understanding – Know what AI can and cannot do in the context of market data.
💡 System requirement for running this model
- Windows 10 or latest
- Minimum RAM of 16 GB
- Excel 2016 or latest
