Hi Everyone, This is an advance machine learning project. It's Take 3-4 Hour to Record + Editing. You can use this project for your research paper, final year even though for thesis or defence. Try to cover all of the basic & advance techniques ✌️ So Support Dena🌻
Thank you very much sir ... But I have a doubt that is after removing missing values still there is showing missing values with some less numbers as I used same function which you explain and wrote in your code ,please help me out?
Hi Everyone, This is an advance machine learning project. It's Take 3-4 Hour to Record + Editing.
You can use this project for your research paper, final year even though for thesis or defence.
Try to cover all of the basic & advance techniques ✌️
So Support Dena🌻
Thank you so much for sharing your experience and knowledge, Sir.
Can we drop original BMI, Insulin and glucose column?
Thank you very much sir ...
But I have a doubt that is after removing missing values still there is showing missing values with some less numbers as I used same function which you explain and wrote in your code ,please help me out?
Please check again when you impute your value or call your function...
why do we apply standardscaler after applying robustscaler ?
How can we diploye it like apps function?
where can i find this Dataset?
The missingno module is not found
What are the algorithms you've used here, please reply
Check the full tutorial, Machine learning algorithm all of them i used here and choose the best one..
Bro in handling categorical features of dataset instead of 0 or 1, I m getting True or false what to do
Convert TRUE into 1 and False into 0
@@knowledgedoctor3849 how
@@knowledgedoctor3849 brother I m facing same problem
df = df.astype(int)
WHAT IF WE REMOVE THE PREGNANCY FROM DATASET?
Yup you can check... Cz Pregnancy is just applicable for female not male..
thank you sir. @@knowledgedoctor3849
i have another question . why the blood pressure only showing 1 value like 72. not 120/72..@@knowledgedoctor3849
SHouldn't we exlude pregnancies while replacing with nan values since there might be a woman having no kids??
Yes sure you can✅
I have only 8 features in my dataset .to predict the outcome i am giving 8 inputs.but it is asking for 18 features to predict.what is this error?
This is advance project, here we apply feature engineering techniques to create extra feature as well.
Check this one, and learn advance techniques
Its predict unseen data