https://github.com/kalyan4636/lgmvip-datascience---task-2

https://github.com/kalyan4636/lgmvip-datascience---task-2

Last synced: 2 months ago
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• Host: GitHub
• URL: https://github.com/kalyan4636/lgmvip-datascience---task-2
• Owner: Kalyan4636
• Created: 2021-12-31T13:47:47.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-22T15:12:58.000Z (over 1 year ago)
• Last Synced: 2025-01-06T10:47:27.391Z (4 months ago)
• Language: Jupyter Notebook
• Size: 1.11 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LGMVIP-DataScience---[ Decision tree algorithm ] Task-2

A. A decision tree algorithm is a machine learning algorithm that uses a decision tree to make predictions. It follows a tree-like model of decisions and their possible consequences. The algorithm works by recursively splitting the data into subsets based on the most significant feature at each node of the tree. 

![DECISION TREE ALGORITHM](https://github.com/Kalyan4636/LGMVIP-DataScience---Task-2/assets/79601235/aaecf602-3431-41b0-bf48-68e6fdfb98c8)