Thank you soo much sir great video but when running the models eg loggistic regression it show me a value error input contains Nan infinity or a value too large for dtype(float64)
In the end you didnt performed any prediction like how user will give input and how it will tell us it has diabetes or not , you explained diff algorithms which to use and how to use but how to generated the end result can you tell
Thank you Anand for watching my video, In this video, I was comparing the models and analysed the results. but I didn't make a prediction, in the next lectures, I will make prediction. once again thank you for your suggestion.
@@PREMKUMARBORUGADDA When can I see that lecture, like when u will be uploading it actually i am working so i need to see how it predicts at the end, I am in the middle and stucked, so can u help
Kamala, ask me the question clearly, which values you are asking about those features glucose,insulin,skin thickness,pregnancy, mention the video time exactly. I will clarify your doubt.
I mean , if am the person to check whether am having diabetes are not and how the value of glucose ,insulin, skin these like this attributes values are calculated sir in data site website
@@tkomala9370 First you need to select the optimal attributes (features) from a dataset with the help of feature selection techniques and those feature values will give to your model manually then your model will predict whether the person has diabetes or not. I hope you got my point.
Very informative video Prem sir, waiting for next video 🙏🙏
excellent video...thank you!!!
Good 👍
why you only checked zero values of 5 column not all the columns?
Thank you for very valuable video... Please share your next video on this dataset with outlier, feature detection.. Thank you again
Thank you Leila for watching my videos, I will make another video on the same dataset with feature selection techniques..
@@PREMKUMARBORUGADDA your teaching is great and informative, thank you again 💐💐💐
Thank you soo much sir great video but when running the models eg loggistic regression it show me a value error input contains Nan infinity or a value too large for dtype(float64)
thank you
Thanks a lot!
Thanks sir
I write the code of classifier like u but my code is not running.
everything I have done what u did but classifiers are not running
Can u plz apply kMeans on this dataset? It would be really appreciated
which ml algo u used
can u please share the ipnb file
Sir which type diabetes (type1,type2 and gestational diabetes) can predict using this dataset?
Sir small doubt what is the use of entropy I decision tree algorithm
Entropy is used to find the dataset's randomness when split into nodes.
Sir can you provide your python ipynb file link?
Can you please share .ipynb file?
Prem sir please send the .Ipynb file
Sir what is meant by diabetes pedigree function
In the end you didnt performed any prediction like how user will give input and how it will tell us it has diabetes or not , you explained diff algorithms which to use and how to use but how to generated the end result can you tell
Thank you Anand for watching my video, In this video, I was comparing the models and analysed the results. but I didn't make a prediction, in the next lectures, I will make prediction. once again thank you for your suggestion.
@@PREMKUMARBORUGADDA When can I see that lecture, like when u will be uploading it actually i am working so i need to see how it predicts at the end, I am in the middle and stucked, so can u help
Can we use PCA for data reduction and apply classifier you have used on same dataset??
yes, we can use PCA for dimensionality reduction.
how to differentiate between diabetes type from pima india dataset?
sir which algorithm is better for doing our projects?we need more accuracy
?
No one can tell which algorithm is better until you execute by yourself with your approach.
Sir can you provide your python ipynb file link
Hai sir , how the values are calculate for glucose,insulin,skinthickness,pregnancie sir
Kamala, ask me the question clearly, which values you are asking about those features glucose,insulin,skin thickness,pregnancy, mention the video time exactly. I will clarify your doubt.
I mean , if am the person to check whether am having diabetes are not and how the value of glucose ,insulin, skin these like this attributes values are calculated sir in data site website
And thanks for replying me sir
@@tkomala9370 First you need to select the optimal attributes (features) from a dataset with the help of feature selection techniques and those feature values will give to your model manually then your model will predict whether the person has diabetes or not. I hope you got my point.
@@PREMKUMARBORUGADDA Sir have you uploaded the feature selction technique on same dataset?
Is this jupyter lab or notebook
yes, Riddhi shree, it is Jupyter notebook
pl share the ipynb file??
Tell me using logistic regression alogorithm
Sir
ruclips.net/video/p1MqD8g0KDg/видео.html
Can you send me the dataset link please
www.kaggle.com/uciml/pima-indians-diabetes-database
Can you please share .ipynb file?