Predicting Heart Disease using Machine Learning

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Information Predicting Heart Disease using Machine Learning

Title	:	Predicting Heart Disease using Machine Learning
Lasting	:	11.49
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Views	:	125 rb

i m getting error in plotting "posx and posy should be finite values"
Comment from : 20EEE064 Samarth Singh

Sir I'm currently doing heart disease predictionbrbrI need the dataset sirbrCan you send the download
Comment from : Sai Prasanth

Thanks you so much 🙏
Comment from : Uday Gawande

Does it requires any hardware??
Comment from : DM Nagardhankar

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Comment from : Omotayo

Meeting ( Dr imenherbal on YouTube ) 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
Comment from : EKIRAN OYEDOYIN

Sir how to deploy to web
Comment from : Ajmeer Shah tricks

sir, can u explain what do we do to find the rate of heart failure for thse same data set
Comment from : CodeScript

Thanks
Comment from : louer le seigneur

Plz help me outbr1 I don't understand why we are doing performance analysis of various DM classification technique? What is the purpose of it? br2 I want to predict Whether a person is suffering from disease or not using weka tool (ex heart disease) so how can i do?? brbrbr I have read few paper's where everyone is comparing classification technique which one is better or not?? Why??
Comment from : eternal soul

TOO, THAT THERE IS NOT THE AUTOMATIC TRANSLATOR WITH THE SUBTITLES THANK YOU
Comment from : fabrizio antonazzo

A healthy life will always find life meaningful, being finally cured from this heart disease using an herbal medicine from Dr Gbenga was my greatest Adventure in life, all thanks to Dr Gbenga for his help
Comment from : Isaac Harrison

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
Comment from : Nurul Usna Abdul Rahman

For 6 years I have been battling with cardiovascular disease which almost took my life, but when I came across Dr Gbenga, I decided to give a try to his herbal drugs, which I used for 3 weeks, but today am completely cured and strong, thank you Dr Gbenga for your help
Comment from : Katoka Charlie

Finally my wife got cured from cardiovascular disease using an herbal mixture from Dr Gbenga, after 9 years of battling with this illness which almost claim the joy of our marriage, Get a permanent cure today using Dr Gbenga herbal mixture
Comment from : Charlotte Landon

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
Comment from : Istillplay

Sir can you please make the same project with neural networks
Comment from : Code Tech Gyan

sir can we do it by using confusion matrix and finding accuracy also??
Comment from : bhavit mathur

Sir plz tell mehow to make hybride algorithm or knn+randome forest like
Comment from : Vlogers adda

sir g need help in this project
Comment from : Muhammad Jalal

I don't understand, here we are just getting the accuracy of the classifies we are not predicting ?? Please some help
Comment from : Subham Subhamaya Satpathy

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)
Comment from : Manthan Rathod

I am able to get only 84 percent accuracy is there any reason
Comment from : Ashok Babu G

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 typeplz help!!!!
Comment from : Piyush Kumar

Can u do the knn and random forest algorithm for happyness prediction sirbrPlz sir help me and explain data set present kaggle happyness prediction
Comment from : AbhisheK Gowda

Plz tell me why didn't u do those confusion matrix
Comment from : Debakalyani Dash

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??
Comment from : Bishal Paul

Hi, sir can you explain the decision tree as well
Comment from : Roxana Slj

How can I make a GUI for this model, taking input from the user?
Comment from : ATHARVA VAIDYA

Hello Sir,I am new to python please can you tell me how and to store the dataset that we have downloaded from kaggel
Comment from : equity job

Can you explain on prediction of tariff rate with code in machine learning?
Comment from : Prashanth Nelluri

After all, nothing has been predicted, only various algorithms peformance was checked
Comment from : Agata Polejowska

Thank you very much, Sir-
Comment from : Amit Yadav

Can u plz make a video using UCI data of CKD patient and applying ANFIS and BAGGING algorithm?Sir plz i really need helpPlz help meWill always be grateful
Comment from : Shanila yunus

what is the programming language used in the dataset????
Comment from : Tiruvalluru Sricharan

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??
Comment from : J A Khan

will u build the GUI Interface for the machine learning model
Comment from : PREM KUMAR BORUGADDA

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?
Comment from : Daniel Weikert

sir hoping that if u take a real messy data n teach us cleaning the real problems in interview comes when data types for everybrcolumn is different n very unpleasing
Comment from : Akash Poudel