Contents
Expected Project Output
After completing this project, learners will be able to generate several useful outputs related to stock price prediction.
Stock Price Analysis
Explore historical stock prices and understand daily market behavior.
Exploratory Data Analysis
Visualize relationships among stock variables using statistical charts.
Feature Engineering
Create meaningful input features from historical stock data.
Stock Price Prediction Model
Train a KNN regression model capable of estimating future closing prices.
Model Evaluation
Evaluate prediction performance using:
- Mean Absolute Error (MAE)
- Mean Squared Error (MSE)
- Root Mean Squared Error (RMSE)
- R² Score
Performance Visualizations
Generate graphs such as:
- Closing Price Trend
- Open vs Close Price Comparison
- Actual vs Predicted Closing Prices
- Scatter Plot of Predictions
- Correlation Heatmap
These outputs help learners understand both stock market behavior and the effectiveness of the predictive model.
Stock Price Prediction for Beginners using Data Science
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