Back to Work
Machine Learning
Iris ML
Machine learning model for iris species classification with 95% accuracy using scikit-learn.
Examples Only. This project demonstrates the application of machine learning techniques to classify iris species based on the well-known Iris dataset. Using Python and scikit-learn, I trained a classification model that achieves 95% accuracy in distinguishing between the three iris species. The project includes data preprocessing, model training, and evaluation, showcasing my ability to leverage data for insights and predictions.
Links
Technologies
PythonScikit-learnMachine LearningData Analysis
Key Metrics
Accuracy
95%