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Machine Learning

Stock Market Trend Prediction

Forecasting stock price movements using Support Vector Regression (SVR) with RBF kernels.

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Stock Market Trend Prediction screenshot

Project Overview

Applying high-dimensional regression to time-series data for financial market forecasting.

Technologies Used

PythonSVRPandas

Methodology

  1. 1Preprocessing historical stock price data.
  2. 2Kernel selection for non-linear time series.
  3. 3Implementing SVR with epsilon-tube constraints.
  4. 4Visualizing predicted vs actual price trends.

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