Decision Tree Machine Learning Classifier
Jay Gohil
Gandhinagar, Gujarat
- 0 Collaborators
A DT model for classification on multivariate input! ...learn more
Project status: Published/In Market
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