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This Scikit-learn tutorial will help you understand what is Scikit-learn, what can we achieve using Scikit-learn, and a demo on how to use Scikit-learn in Python. Scikit is a powerful and modern machine-learning python library. It’s a great tool for fully and semi-automated advanced data analysis and information extraction. There are a lot of reasons why Scikit-Learn is a preferred machine learning tool. It has efficient tools to identify and organize problems, such as whether it fits a supervised or unsupervised learning model. It contains many free and open data sets. It has a rich set of built-in libraries for learning and predicting. It provides model support for every problem type. It also has built-in functions such as pickle for model persistence. It is supported by a huge open-source community and vendor base. Now, let us get started and understand Sciki-Learn in detail.

Dataset Link – https://drive.google.com/drive/folders/1IQ2k2fLfObJYuhW5NYSy2mR94FNUSuCJ

Below topics are explained in this Scikit-Learn tutorial:
1. What is Scikit-learn? (00:26)
2. What we can achieve using Scikit-learn (00:59)
3. Demo (03:52)

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Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME’s excellence and IBM’s industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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