alvinwilta/ML-Basic-DTL

Basic Decision Tree Learning Library Exploration on Jupyter Notebook

ML-Basic-DTL

Basic Decision Tree Learning Library Exploration on Jupyter Notebook

Table of contents

• General info
• Learning Model List
• Technologies
• Library
• Status
• Inspiration
• Author

General info

Basic Decision Tree Learning Library Exploration on Jupyter Notebook. Create classification or regression learning prediction models from datasets Breast Cancer and Play Tennis.

Learning Model List

• Decision Tree Classifier
• Id3 Estimator
• K Means
• Logistic Regression
• Neural Network
• SVM - Support Vector Machine

Technologies

• Python - version 3.9.7
• Jupyter Notebook

Library

• Id3 - pip install decision-tree-id3
• Graphviz - pip install graphviz
• Matplotlib - pip install matplotlib
• Pandas - pip install pandas
• Scikit-learn - pip install scikit-learn
• Seaborn - pip install seaborn

Status

Project is: finished

Inspiration

Project inspired by IF3270 Machine Learning Project assignment, based on documentation prepared by Graphics and Artificial Intelligence Laboratory Assistant.

Author

• Alvin Wilta
• Benidictus Galih Mahar Putra