Gokultcr / irisflower

Iris Flower Classification & Prediction Tasks

Basic data analysis and visualization techniques are applied on Iris flower dataset. After pre-prcoessing and analysis few of the machine-learning algorithms are applied. The dataset contains different features like:

• Sepal Width
• Sepal Length
• Petal Width
• Petal Length
• Species name

Python Libraries

• numpy
• pandas
• matplotlib
• seaborn
• statsmodels
• sklearn

Machine-Learning Algorithms

• Logistic Regression
• K-nearest Neighbour
• Decision Tree
• Random Forest
• Gradient Boost
• Support Vector Machine
• Gaussian Naive Bayes
• Neural Networks

Summary

Here Iris dataset is analysed with basic data analysis techniques and applied different machine learning algorithms for prediction and classification operation.