Scikit Learn Tutorial | Machine Learning with Python | Python Tutorial
Welcome to this video course on Scikit-Learn. This course will explain how to use scikit-learn to do machine learning. The aim of this course is to provide the good understanding of scikit-learn
Contents:
1 - Prerequisites to Start Learning Machine Learning
2 - Loading datasets Using Scikit-Learn
3 - Building SVC Model using scikit-learn
4 - Building a pipeline
5 - Hyperparameter Tuning | How to tune Hyperparameters with scikit-learn
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...
https://www.youtube.com/playlist?list...
https://www.youtube.com/playlist?list...
https://scikit-learn.org/stable/docum...
https://www.scipy.org/docs.html
https://pandas.pydata.org/pandas-docs...
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.
Linear regression, Logistic regression, Cluster analysis.
Use SciKit-Learn for Machine Learning Tasks
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