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Decision Tree Machine Learning Classifier

Jay Gohil

Jay Gohil

Gandhinagar, Gujarat

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  • 0 Collaborators

A DT model for classification on multivariate input! ...learn more

Project status: Published/In Market

Artificial Intelligence

Code Samples [1]

Overview / Usage

I created a decision tree ML algorithm in order to make classification predictions using Python and its libraries (Scikit-learn, Pandas, Matplotlib, Seaborn, IPython & Pydotplus) on an Sklearn Dataset; hosted on Google Colaboratory (reaching an accuracy of 96.67%).

Methodology / Approach

I created a decision tree ML algorithm in order to make classification predictions using Python and its libraries (Scikit-learn, Pandas, Matplotlib, Seaborn, IPython & Pydotplus) on an Sklearn Dataset; hosted on Google Colaboratory (reaching an accuracy of 96.67%).

Technologies Used

Technologies:

  • scikit-learn
  • pandas
  • Matplotlib
  • Python
  • Data Science
  • Seaborn

Repository

https://github.com/gohil-jay/TSF-Internship/tree/main/Task-6

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