Home/Projects/Iris Flower Classification

Iris Flower Classification

Machine Learning
Beginner
2-3 weeks

Classify iris flowers using basic machine learning algorithms.

Project Overview

Build a classification model to identify iris flower species based on petal and sepal measurements. Learn about data preprocessing, model training, and evaluation using the classic iris dataset.

Tools & Technologies

Technologies you'll work with in this project

Python
scikit-learn
pandas
seaborn
Jupyter

What You'll Learn

  • Hands-on experience with industry-standard tools and technologies
  • Project management and independent work skills
  • Real-world problem-solving and implementation techniques
  • Portfolio-worthy project to showcase your skills

Project Information

Project ID
ml-002
DomainMachine Learning
Difficulty
Beginner
Duration2-3 weeks

Get Started

Register for this project and start your internship journey

Certification

Complete this project and get your official internship certificate for just ₹200.

Industry-recognized certificate

Need Help?

Have questions about this project? We're here to help!

Related Projects

Machine Learning
Beginner

House Price Prediction

Build a simple linear regression model to predict house prices.

View Project
Machine Learning
Beginner

Movie Recommendation System

Create a simple movie recommendation system using collaborative filtering.

View Project
Machine Learning
Beginner

Sales Forecasting Model

Build a time series model to forecast sales data.

View Project