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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/folder...
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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➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
Add the IBM Advantage to your Learning
25 Industry-relevant Projects and Integrated labs
Immersive Learning Experience
Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
ChatGPT
Flask
Matplotlib
django
Python
Numpy
Pandas
SciPy
Keras
OpenCV
And Many More…
👉Learn More at: https://www.simplilearn.com/professio...
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