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Expected Project Output

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.