GitHub - AnjulGupta12/MachineLearning_ClassificationProject: Explored and Visualized the Iris Dataset to gain insights. Built Logistic Regression, Decision Tree and Random Forest for classification of species. Used accuracy score as the evaluation metrics and found that Decision Trees and Random Forest increased the accuracy by 2%. · GitHub

Name		Name	Last commit message	Last commit date
ML_project.ipynb		ML_project.ipynb
README.md		README.md

Repository files navigation

https://colab.research.google.com/drive/1NlFZuPkMN-HvgevvlS6bAXeswfU6qQIs#scrollTo=eEgF61X-AnyZ

About

Explored and Visualized the Iris Dataset to gain insights. Built Logistic Regression, Decision Tree and Random Forest for classification of species. Used accuracy score as the evaluation metrics and found that Decision Trees and Random Forest increased the accuracy by 2%.

decision-tree juypter-notebook logistic-regression machine-learning random-forest

0 stars

1 watching

Report repository

Releases

Packages

Contributors

Languages