K Fold Cross Validation | Cross Validation in Machine Learning
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- Опубликовано: 2 окт 2024
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. In this video, I explained K Fold Cross Validation in a detailed manner. K-Fold Cross-Validation is an important concept in Machine Leanring and data science. You will be able to understand K-Fold Cross Validation in a better way with suitable example.
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i have been taught that cross validation is done on training data set after train_test_split , But you are saying its done on the entire dataset. Which is true
How can we create the new instances of the model in each iteration ?
Small and large in ML how much data approx?
talk slowly dude
Can you explain more about how is better for multiclassification
Thanks for video, How accuracy score is more in logistics regression?
This is just an example
Could anybody please tell me why he didn't complete the Decision Tree model from scratch in the last module? Also will other models be covered anytime soon?
Thanks sir 🔥🙏
After ML please start Tensorflow 2.0 for deep learning
Sure. That's the plan.
Sir put cryotocurrency market price prediction using data science process
since cross validation splits data into training and test set depending on the numbers of k selected and output model accuracy...how do we now build a predictive system afterwards
Doing great work thanks alot
Will get placed with your help
Really waiting for more vedios in your curriculum
Thanks siddhardhan
Thanks for this video Sir, i am in final year of my graduation and in my project i decide to use cross validation method for model selection but till now i didn't found any video with such good explanation and please try to upload practical video on this topic asap.
Sure. Will do.
Thanks 👍
Post u r updated circullam on this course
Will do
@@Siddhardhan thank you sir