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custom-implementation

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Implemented Polynomial Regression from scratch and compared it against Scikit-Learn’s implementation using a real estate price dataset. The project demonstrates data preprocessing, exploratory analysis, model training, and evaluation with metrics like MSE and R². It provides insights into the impact of polynomial features on regression performance.

  • Updated Mar 8, 2025
  • Jupyter Notebook

A .NET repository demonstrating the use of guard clauses for input validation and defensive programming. Includes implementations using both built-in .NET features and custom guard clauses, with practical examples for Order and Customer objects in a console application.

  • Updated Jan 22, 2025
  • C#

This project implements linear regression from first principles to predict YouTube ad revenue based on video metrics. Using NumPy, it covers hypothesis functions, cost optimization via gradient descent, and model evaluation. The custom model outperforms sklearn’s LinearRegression, offering insights into ad revenue trends.

  • Updated Feb 19, 2025
  • Jupyter Notebook

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