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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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➡️ 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
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✅ Tools Covered
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Source
I don't think starting up the tutorial with this tons of import statement was a good idea, for me it was very discouraging on my end, I don't know for other people though.
Many thanks for the wonderful tutorial
thank you sir 🙏🙏🙏
I would apply the scaler to the features before splitting the samples to training and testing sets.
May you have an eternal bliss for the effort you put in doing things in the world, my friend!
i can't access the dataset only the notebook
Great Tutorial! Well Done!
I have been having trouble downloading the dataset, and some others from Simplilearn videos. It downloads as .html file. Someone help me out. How do yo download the datasets?
Hi, could you please share the dataset?
I need the datasets used in this video please.
The sound is just too unbearable…
One of the best learning videos…can you please add the wine data file in google drive
Sir, What is bins (in preprocessing zone)?
Where can we access the dataset you used onthis tutorial
Thanks for the informative video. Could you please share the code with me?
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Kindly send the dataset
Great tutorial. Thanks!
Great video!!
someone please explain the bins syntax
i have a project in my AI course for the uni and i have to use this library. pray for meee 😭
Thank you so much for the great explanation! Very insightful and easy to follow