What is Scikit-learn Library?

Scikit-learn is an open-source machine learning library that provides simple and efficient tools for data analysis and modeling. It is built on NumPy, SciPy, and Matplotlib, making it a powerful tool for tasks like classification, regression, clustering, and dimensionality reduction.

• Classification: Classification involves teaching a computer to categorize things. For example, a model could be built to determine whether an email is spam or not.
• Regression: Regression predicting numbers based on other numbers. For instance, a model could predict house prices using factors like location, size, and age.
• Clustering: Clustering involves finding patterns in data and grouping similar items together. For example, customers could be segmented into different groups based on their shopping habits.
• Dimensionality Reduction: Dimensionality reduction helps focus on essential data parts while discarding noise. This is useful when dealing with a lot of data that isn’t all relevant.

Python is known for its versatility across various domains, from web development to data science and machine learning. In machine learning, one of the go-to libraries for Python enthusiasts is Scikit-learn, often referred to as “sklearn.” It’s a powerhouse for creating robust machine learning models.