Hindi Machine Learning Tutorial Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding
Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding Transcript and Lesson Notes
Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use interger or label encoding but when categorical variables are nominal, u
Quick Summary
Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use interger or label encoding but when categorical variables are nominal, u
Key Takeaways
- Review the core idea: Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use interger or label encoding but when categorical variables are nominal, u
- Understand how one hot encoding python fits into Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding.
- Understand how one hot encoding machine learning fits into Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding.
- Understand how sklearn one hot encoding tutorial fits into Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding.
- Understand how sklearn one hot encoder example fits into Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding.
Key Concepts
Full Transcript
Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use interger or label encoding but when categorical variables are nominal, using simple label encoding can be problematic. One hot encoding is the technique that can help in this situation. In this tutorial, we will use pandas get_dummies method to create dummy variables that allows us to perform one hot encoding on given dataset. Alternatively we can use sklearn.preprocessing OneHotEncoder as well to create dummy variables. #MachineLearningHindi #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #OneHotEncoding Code in tutorial: https://github.com/codebasics/py/tree/master/ML/5_one_hot_encoding Exercise csv file: https://github.com/codebasics/py/blob/master/ML/5_one_hot_encoding/Exercise/carprices.csv To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a green button to clone or download the entire repository and then go to relevant folder to get access to that specific file. Website: http://codebasicshub.com/ Facebook: https://www.facebook.com/codebasicshub Twitter: https://twitter.com/codebasicshub
Lesson FAQs
What is Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding about?
Machine learning models work very well for dataset having only numbers. But how do we handle text information in dataset? Simple approach is to use interger or label encoding but when categorical variables are nominal, u
What key concepts are covered in this lesson?
The lesson covers one hot encoding python, one hot encoding machine learning, sklearn one hot encoding tutorial, sklearn one hot encoder example, machine learning with python.
What should I learn before Hindi Machine Learning Tutorial 6 - Dummy Variables & One Hot Encoding?
Review the previous lessons in Hindi Machine Learning Tutorial, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: one hot encoding python, one hot encoding machine learning, sklearn one hot encoding tutorial, sklearn one hot encoder example.
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