All work
  • Python
  • Scikit-learn
  • NumPy

SVM Stock Price Predictor

Stock price prediction comparing linear, polynomial, and RBF SVM kernels.

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Highlights

  • Implemented Linear, Polynomial, and RBF SVM models for stock price prediction.
  • Engineered a NumPy-based data processing pipeline for historical stock data.
  • Built visualization tools comparing prediction accuracy across regression models.