Dataset for Classification Problem - Machine Learning for Beginner
Weather Forecast Dataset
This dataset is ideal for beginners looking to practice machine learning, specifically using classification techniques.
With 2,500 weather observations, it’s a simple yet practical dataset for learning how to predict rainfall based on various weather conditions.
Perfect for use with Python libraries like scikit-learn, this dataset enables experimentation with algorithms such as logistic regression , decision trees , and random forests .
The dataset's straightforward structure makes it accessible for those new to classification problems and interested in weather data analysis.