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Aim of the Project

Aim of the Project

The primary objective of this project is to build a machine learning model capable of predicting stock closing prices using historical market data.

The project aims to:

  • Load and inspect historical stock market data.
  • Perform exploratory data analysis to understand market trends.
  • Engineer useful features from existing stock attributes.
  • Train a K-Nearest Neighbors (KNN) regression model.
  • Optimize the model using GridSearchCV.
  • Predict future closing prices.
  • Evaluate prediction performance using regression metrics.
  • Visualize actual and predicted stock prices.

Through this workflow, learners gain practical experience in applying machine learning to financial datasets.