Skip to content

Latest commit

 

History

History
13 lines (10 loc) · 980 Bytes

README.md

File metadata and controls

13 lines (10 loc) · 980 Bytes
Raw

The Sparks Foundation - Graduation Rotational Internship Program

This Repository is dedicated to the completion of my Task with video from The Sparks Foundation (Graduate Rotational Internship Program).
My domain is Data Science and Business Analytics for the May 2021 Batch.

Tools/IDE : Python/Jupyter Notebook

TASK 6 :- Prediction using Decision Tree Algorithm (Level - Intermediate)

  • Task Description: In this task, we will Create the Decision Tree classifier and visualize it graphically on the dataset "Iris" and try to find out if we feed any new data to this classifier, it would be able to predict the right class accordingly.
  • Dataset: Iris Dataset
  • Dataset: https://bit.ly/3kXTdox
  • Tech Stack: scikit-learn, seaborn
  • Task Video: Prediction using Decision Tree Algorithm