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python-decision-tree

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I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

  • Updated Dec 9, 2022
  • Jupyter Notebook

# Random_ForestThis repository contains code for analyzing and processing data using a Random Forest model. It includes steps for loading data, checking for missing values, and preparing features for machine learning. 🐱💻🌲

  • Updated Jun 9, 2025

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