Understanding Scikit-Learn: The Essential Machine Learning Library 📊

"This video on ""What Is Scikit Learn?"" will help you understand theretical details about scikit learn library and why it is a big deal in machine learning domain. Understand the importance of scikit learn, why it is a good machine learning library and problem setting in machine learning. So, let's get started with this machine learning tutorial for beginners!

✅What Is Scikit Learn?
Scikit learn (previously scikits.learn and also known as sklearn) is a free software machine learning package for Python. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

Scikit learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python.

✅Prerequisites to Use Scikit Learn
1. Python Programming Environment
2. SciPy
3. NumPy
4. Pandas
5. Matplotlib

🔵 Following topics are covered in this session:
00:00 - What is Scikit-Learn?
09:09 - Problem Setting: Machine Learning
11:34 - What is Linux Distribution?

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