Scikit-Learn Tutorial 3 – Building SVC Model using scikit-learn

Welcome to this video tutorial on Scikit-Learn. this video explains How to Build SVC Model Using Scikit-Learn Python. We will Build a SVC Model that classifies type of wheat using scikit-learn. A dataset from Kaggle is downloaded and a simple model is built by mainly using pandas and sklearn.

Methods to load Toy Datasets and exploring their feature names, number of instances and other details have been shown. Also, which library to use when a data is in a particular format is also discussed. Lastly, fetching dataset from openml.org has been shown with an example.
Some important links for more info:
https://www.youtube.com/playlist?list=PLS1QulWo1RIaJECMeUT4LFwJ-ghgoSH6n
https://www.youtube.com/playlist?list=PLS1QulWo1RIYt4e0WnBp-ZjCNq8X0FX0J
https://www.youtube.com/playlist?list=PLS1QulWo1RIYWmvS03CzXh1MTSN9dbTnR
https://scikit-learn.org/stable/documentation.html
https://www.scipy.org/docs.html
https://pandas.pydata.org/pandas-docs/stable/

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