rishusiva/iris_classification

Classification of Iris flower dataset using various algorithms and methods.

Iris_Classification

Overview

Iris flower dataset is classified into different species using both Supervised and Unsupervised Algorithms. Hyper parameter tuning is also done to find best algorithm with best parameters.

Supervised Algorithms Used

• SVC
• KFold Cross Validation
• Random Forest Classifier
• Logistic Regression
• Decision Tree Classifier

Unsupervised Algorithms Used

• KMeans Clustering

Hyper Parameter Tuning

• GridSearchCV
• RandomizedSearchCV

Prerequisites

• Python 3
• an IDE (preferably Jupyter Notebook)
• Pandas
• Numpy
• Matplotlib
• Sklearn
• Seaborn

All the external dependencies can be installed by using pip install -r requirements.txt

Author

• Rishikesh Sivakumar

by Rishikesh Sivakumar