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A beginner-friendly machine learning project using Python to classify Iris flowers (Setosa, Versicolor, and Virginica) based on sepal & petal measurements. The dataset, introduced by R.A. Fisher (1936), is widely used for ML model evaluation.
Machine Learning project developed under the faculty guidance during the NSUT Hydrophonics Traning Program to predict plant weight and height using Python, Pandas, NumPy, Scikit-learn
This project explores the US Accidents (2016 - 2023) dataset from Kaggle. The goal is to understand patterns in road accidents across the United States using data visualization and exploratory analysis techniques.