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Predicting stock prices requires a comprehensive analysis of various data points, such as historical stock prices, financial statements, market trends, and external factors impacting the business. Participants will be provided with historical stock market data, including price trends, trading volumes, and relevant financial indicators.

  • Updated Nov 21, 2025
  • Jupyter Notebook

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

  • Updated Sep 5, 2025
  • Jupyter Notebook

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