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/ Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems. #ProgrammingKnowledge #ScikitLearn #ml #ai
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