Min-Max and Standard Scaler Feature Scaling Data Pre-processing Machine Learning
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- Опубліковано 14 жов 2024
- In this video I explain the importance of Feature Scaling. Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization and is generally performed during the data preprocessing step. I explain two methods : min-max normalization and z-score standard npormalization
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Great contact full respect🙏 Thank you
Thank You!
Thanks for the information.
Thank You
Thank you so much Sir.., this video is very useful for me, Sir can you please make a video on topic .."multi view ensemble learning".
Ok will try . Thank You!
@@RitheshSreenivasan Thank you ☺️
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Have you looked at my other videos? I have a lot of videos on llama and langchain
@@RitheshSreenivasanyes sir dekhe h