https://github.com/semihbugrasezer/decisiontreealgorithm

Prediction using Decision Tree Algorithm (Level - Intermediate) The Spark Foundation İntership
https://github.com/semihbugrasezer/decisiontreealgorithm

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Prediction using Decision Tree Algorithm (Level - Intermediate) The Spark Foundation İntership

• Host: GitHub
• URL: https://github.com/semihbugrasezer/decisiontreealgorithm
• Owner: semihbugrasezer
• License: mit
• Created: 2024-01-21T18:01:17.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-21T19:33:14.000Z (12 months ago)
• Last Synced: 2024-01-22T22:10:23.359Z (12 months ago)
• Language: Jupyter Notebook
• Size: 2.87 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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Prediction using Decision Tree Algorithm (Level - Intermediate) The Spark Foundation İntership

Completing the task of 📊 Prediction Using Decision Tree Algorithm for The Sparks Foundation 📈

"Thrilled to announce that I've successfully completed a first task of my Graduate Rotational Internship Program (GRIP) with The Spark Foundation! 

#GRIPJANUARY24

#ImpactfulWork

#TheSparkFoundation"

Task: Prediction Using Decision Tree Algorithm

Problem Statement:

To Perform ‘Prediction Using Decision Tree Algorithm’ on dataset "iris".

I used Google Colab to implement a Decision Tree classifier for predicting classes. The classifier was trained and visualized graphically. The goal is to make accurate predictions for new data inputs, showcasing the classifier's ability to categorize instances into the right classes based on the trained model.

Links:

 

🔗 Youtube : https://lnkd.in/dKWrwJPb

📂 GitHub Repository : https://lnkd.in/dB5MkPNE

🌐 Visit The Sparks Foundation:

I kindly invite you to review my project and share your valuable feedback.

For those interested in participating in this internship, please apply through the following link: https://lnkd.in/dakURw9f