Predicting Heart Disease using Machine Learning
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- čas přidán 7. 09. 2024
- Here is a video which provides a detailed explanation about predicting heart diseases using Machine Learning
#PredictingHeartDisease
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We can basically use the logistic regression... Which is best suited here and as the age goes up the chances for the heart attack increases..... So maybe the would be my solution
I saw the dataset but there are no categorical values.. and in feature engineering when i used info i could not any column whose type is the object. Every column has int as its type.plz help!!!!
Easily explained... Thanks for teaching
I have two questions.
1. What are the steps to prepare a complete demo like this, could you please mention in summary, and what algorithms are available , how to select the proper algorithm?
2. How to prepare data set, how to know these these columns are required to generate the accurate result?
To know the require columns ..you must be familiar with biology or otherwise you can ask professional docters ..which parameters are have to be concerned for prediction
sir hoping that if u take a real messy data n teach us cleaning .....the real problems in interview comes when data types for every
column is different n very unpleasing....
tq so muchh krish and plese make videos on more projects by using peramers to tune the model
I like the way you are explaining every steps.
My question is, why didn't you do any outlier analysis here?
Omg i didnt know you made a video on this project as well. I tried using logistic regression and got 86% train and 88% test accuracy. Only thing which i didnt do was to convert the chest pain column into dummy variable and i used standard scaler to scale the values. Tried both minmax and standar scaler and standard scaler gave better results (10% increment).
please share the file u made , it will healp me
hi bro can you send me that code for linear regression
TOO, THAT THERE IS NOT THE AUTOMATIC TRANSLATOR WITH THE SUBTITLES THANK YOU
Hi, can u suggest me where can I obtain 2 types of heart diseases dataset for svm testing and training in Matlab. Hope can help me in seraching 40 samples for each types of any 2 heart diseases.
Meeting ( Dr imenherbal on CZcams ) has really been one of the best day of my life after years of suffering from this disease , am getting better now, God bless you sir .
Can you please tell which heart disease you predict
Sir plz tell me.how to make hybride algorithm or knn+randome forest like
Can u plz make a video using UCI data of CKD patient and applying ANFIS and BAGGING algorithm?Sir plz i really need help.Plz help me.Will always be grateful.
sir, can u explain what do we do to find the rate of heart failure for thse same data set
sir can we do it by using confusion matrix and finding accuracy also??
i m getting error in plotting "posx and posy should be finite values"
Hello Sir,I am new to python please can you tell me how and to store the dataset that we have downloaded from kaggel
same doubt
How can i implement such application for all type of dieseases?
Thanks you so much 🙏
Plz tell me why didn't u do those confusion matrix
will u build the GUI Interface for the machine learning model
Plz suggest me gui channel anybody done
Codewithharry
Does it requires any hardware??
Sir please provide code for feature selection to predict cvd
Can u do the knn and random forest algorithm for happyness prediction sir
Plz sir help me and explain data set present kaggle happyness prediction
How KNN works when inputs are more than 2 like in Heart Diseases Prediction, As KNN is calculating the distance of query point from two parameters which are on 'X' and 'Y", but here in this case Input Parameters are more than 2, so can you just explain how it works for multiple inputs??
Thank you very much, Sir-
Sir can you please make the same project with neural networks.
Meeting ( Dr imenherbal on CZcams ) has really been one of the best day of my life after years of suffering from this disease , am getting better now, God bless you sir .
The model accuracy incresead with the gradient boosting?
I don't understand, here we are just getting the accuracy of the classifies... we are not predicting ?? Please some help
Even if we predict the values....the main thing u need to concentrate is accuracy....for classification we need to concentrate more on precision recall n accuracy....if ur a moderate in ml or ds what u do is like....u won't be predicting by simply giving values....u concentrate more on increasing the models accuracy
@@karthikvegeta5981 do you know any other metrics? You should check precision and recall too
@@DenizLeblebici in classification it's necessary to check precision and recall u can't avoid it, confusion matrix, auc roc curve , accuracy matrix are some of the metrics we can use
Hi, sir can you explain the decision tree as well
Meeting ( Dr imenherbal on CZcams ) has really been one of the best day of my life after years of suffering from this disease , am getting better now, God bless you sir .
How can I make a GUI for this model, taking input from the user?
hello bro , did you get how to built gui for random forest classifier ? im in need of that for my final year project , kindly reply
@@thamizharasank5751 hello dear and how did you make GUI for this? I also need it for my final thesis submission 😩
@@RoyalRealReview i too need bro. have u completed your project?
Bro r u running any live tutorials on ml and AI..??
If u r doing u just inform...I like to learn AI
what is the programming language used in the dataset????
python
is this used in hospitals
After all, nothing has been predicted, only various algorithms peformance was checked.
That is what my doubt is. Why is everyone saying we'll predict the outcome but ends up showing the accuracy of the algorithm.
The things which can be inferred from the video are the methodology to be followed before blindly applying an algorithm. There are many things to be taken into consideration before u train and test values. I do agree that there was no predicting but u can just predict it by using sklearn train test method by using some particular algorithm which suits it.
@@nayeemnayeem354 It is fine to predict accuracy for regression type problems .But for classification problems why everyone is showing the accuracy of the algorithm instead of providing inputs and getting output.
Thanks a lot for your video krish. Great work. One question. All columns seem to be numeric. Could you elaborate why you need the get_dummies?
Columns like chest pain and other features has label like 1,2,3,4....So these chest pain types.We need to convert into categorical features.
Can you explain on prediction of tariff rate with code in machine learning?
Thanks
I wanted to ask why did you create dummy variables. The features were already encoded from category to numeric variables?? Please if anyone can explain??
Hello bro, i have noticed that he encoded all the features that are having values 0 and 1....and scaled those are not in range....i also tried without encoding the features...in this case without encoding i got a mean of 0.79 for KNN and same mean for Random forest....but a very low mean for decision tree
Hope you get it.
Meeting ( Dr imenherbal on CZcams ) has really been one of the best day of my life after years of suffering from this disease , am getting better now, God bless you sir .
Can we give only one dataset I mean can we predict disease by giving one person information
If yes then please help me
If u want to give dataset regarding one person then the model is gonna predict better only for that person and maybe in effective for others
@@nayeemnayeem354 can we get correct accuracy if we give 99% of dataset as training set and only 1% as test case?
Please reply me.
@@vikeshreddy2428 it depends on the problem u are trying to solve and the architecture behind it. I can only provide u a link which might help u understand better.
medium.com/@malay.haldar/how-much-training-data-do-you-need-da8ec091e956
sir g need help in this project
I am able to get only 84 percent accuracy is there any reason
Hii Ashok you got 84 percent accuracy for which algo?
Sir how to deploy to web
Using Flask
In random forest, n_estimators = 10... How?
10 decision tress are taken. .. To predict the target .. ..
P
Meeting ( Dr imenherbal on CZcams ) has really been one of the best day of my life after years of suffering from this disease , am getting better now, God bless you sir .