Iris Flower Classification Using ML @oasisinfobyte #internship #codeandcombat

In this video, I present my @oasisinfobyte internship project on classifying Iris flowers using machine learning. We use the Iris dataset to train models with Support Vector Machine (SVM), Logistic Regression, and Decision Tree Classifier. After preprocessing the data with NumPy and Pandas, we split it into training and testing sets. The models are then tested on new data, achieving high classification accuracy. Watch to see these models in action! My GitHub profile : https://github.com/data-enthusiast-shubhs This project's GitHub Repository -: https://github.com/data-enthusiast-shubhs/OIBSIP.git My LinkedIn - https://www.linkedin.com/in/shubham-oli-12911so/