just completed the 2 starting projects...feeling a hudge relief for better understanding...u made it so simple that every ground level can understand it...Thank you so much brother...Lots of blessings will shower on u ..Thank u for everything 😇😇😇😇😇
I am a beginner with Python and really like the simple way in which you have explained all the steps to perform in this project. Thank you so much for this.
@@Siddhardhan Hi, I am also a beginner in python.. My final year project is also somehow related to it... I would like to seek some help from you regarding that..Your way of explanation is very good.. Please kindly share where I can contact you incase of assistance..✨☺️
If you are getting this warning- UserWarning: X does not have valid feature names, but Logistic Regression was fitted with feature names warnings.warn( change X_train and Y_train to X_train.values() and Y_train.values()
Thanks sir for the heart disease project , i extended this by making a model and import the model to Raspberry pi where i used heartbeat sensor to collect data live and predict the chance of heart attack by using the ML trained model
@@Siddhardhan Sir plz resolve my confusion 🙏. As I want to publish the research paper in the same i.e. Heart disease prediction using machine learning but the problem is that already using these models papers have been published so how mine will differentiate from others. Hope you will resolve my doubt as soon as possible. Thanks in advance ☺
If you guys facing error in last (answer part ) you can correct the logistic regression code to # training the LogisticRegression model with Training data model.fit(X_train.values, Y_train.values)
In this dataset there is an indicator for whether they have heart condition or not. A patient can develop the condition at any timeframe. How will you train the model to say what timeframe the patient had positive indication of heard disease?
Good morning sir,i have doubt in heart disease prediction concept ,i am also doing research in same topic sir. Myself new for research kindly do needful sir
In your earlier video discussing the prediction of diabetes, you highlighted the significance of standardizing the data before inputting it into the Machine Learning model. However, I noticed that in the training of this particular model, the standardization process was not implemented. I am interested in understanding the reason behind this oversight.
hey, thank you for making this video it really helped me out. I am currently working on the same project I was hoping that you could help me out more. I want to 3 more ML algorithms for this same project can you suggest me which algorithms will be suited best. And how do i work with them.
Bro I like the way you're explaining everything it's just feel so easy the way you teach these things just wanted to ask you don't u think u made mistake here by predicting x pred because all I know is we need to predict y pred because that's our target variable why r u predicting x data please let me know
Appreciate your work @Siddhardhan. Can you please do end-to-end projects either ML (or) DL (Starting from understanding the business case study to Deployment)?
Q: when the model is trained on X_train and Y_train then why we need to check the accuracy on same data set, ideally should it not the prediction done on X_train and calculate the accuracy between predicted numbers and Y_test
Thanks sir for the easy explanation, I have a doubt. i am implementing this for my bachelor project. can i create my own data set with minimum variables, and run LR. because i am using IOT sensors data like Heart beat, BP, Oxygen level etc
Example is good but highly incomplete due to : 1) Data is not standardized 2) accuracy score by itself is not a good indicator of logistic regression 3) You also need confusion matrix, ROC - AUC, Precision/Recall/F1 score 4) since it's a medical diagnosis, accuracy score threshold needs to be higher 5) dataset is slightly imbalanced
hey, if we seperate the data before splitting it, won't the target varible mix up(like 1st target with 5th fifth person and so on) with paramenters and give innaccuracy results?
brother can we deploy the input boxes in a local server and so that when we click on the "predict-button". it will says that whether the peron has risk of heart diesase or not??
I think because it contains both numerical and categorical columns. So if you do perform standardization it will also standardize the categorical features which should not be done
Can you please upload a project that predicts based on images? For example: I have image of two type: Cancer & No-cancer. I want to develop a model that can predict whether a test image has Cancer or not.
Hi, if distribution of target variable is 80/20 ratio what problem do we get..can't we apply this logistic model? how do we fix that situation. Please help?
Hiee sir I need one help actually I made that Heart Disease prediction using machine learning project by watching your video one to two input ran fine but after that it's showing error how to fix that please please please tell me
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
Dataset link:
drive.google.com/file/d/1CEql-OEexf9p02M5vCC1RDLXibHYE9Xz/view?usp=drivesdk
Please provide dataset for homeopathic expert system chatbot
OR how to write dataset for homeopathic chatbot
Please help
Nice explation
How to buil this project web application
can you provide project report for this please
just completed the 2 starting projects...feeling a hudge relief for better understanding...u made it so simple that every ground level can understand it...Thank you so much brother...Lots of blessings will shower on u ..Thank u for everything 😇😇😇😇😇
I am a beginner with Python and really like the simple way in which you have explained all the steps to perform in this project. Thank you so much for this.
You're most welcome 😇 happy to help
@@Siddhardhan Hi, I am also a beginner in python.. My final year project is also somehow related to it... I would like to seek some help from you regarding that..Your way of explanation is very good.. Please kindly share where I can contact you incase of assistance..✨☺️
@@talhaahsan6808 hey bro im doing the same project is there some way we can get in touch and discuss
@@Siddhardhan NameError: name 'np' is not defined
how to solve this error, pls tell
This is my introduction to AI and honestly it was so easy to understand. Thank you.
Thanks. I’m a beginner, the explanation was helpful for me.
If you are getting this warning-
UserWarning: X does not have valid feature names, but Logistic Regression was fitted with feature names warnings.warn(
change X_train and Y_train to X_train.values() and Y_train.values()
yes iam getting that
In which line of code ??
bhai tuje bhi error aayi hai na kaise SAHI HOTA hai mujhe bhi to btaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
You are a best teacher in my life
Precise and clear. Thanks a lot. Very useful.
Glad it was helpful!😇
Thanks sir for the heart disease project , i extended this by making a model and import the model to Raspberry pi where i used heartbeat sensor to collect data live and predict the chance of heart attack by using the ML trained model
This video is really helpful for me .Thank you soo much. expecting more videos like this
Thank you especially for 'Making predictive system' part!
You're very welcome!😇
@@Siddhardhan sarcasm tha 🤡
@@Siddhardhan Sir plz resolve my confusion 🙏. As I want to publish the research paper in the same i.e. Heart disease prediction using machine learning but the problem is that already using these models papers have been published so how mine will differentiate from others. Hope you will resolve my doubt as soon as possible. Thanks in advance ☺
@@Siddhardhan I got 100% accuracy by using random forest classifier for same dataset as used by you . Sir have I done something wrong?
@@RoyalRealReview Hello, brother, can you help me out regarding this project? I am going through some problem.
wow your the best have seen so far
It was a very informative video. Easy to understand concepts. Thank u so much!!! Keep growing.
very well explained. Thank you for the great video as always..
This is amazing explained very well.
If you guys facing error in last (answer part ) you can correct the logistic regression code to
# training the LogisticRegression model with Training data
model.fit(X_train.values, Y_train.values)
Very well explained about each and every line of the code ❤️
It's an amazing explanation vedio, thanks a lot😌
Great Session, Boosted my Confidence, Keep Going Bro.
Sir, can we also use logistic regression for the diabetes project as well?, what is really the difference and the advantages one model to the other ?
Thank You so much sir for this project video
It is very useful
Thanks a ton for this great video. It was really very helpful
ur videos r so useful thank u so much
very nice and simple explanation . good
In this dataset there is an indicator for whether they have heart condition or not. A patient can develop the condition at any timeframe. How will you train the model to say what timeframe the patient had positive indication of heard disease?
very well explained, thanks for sharing such stuff
well explained sir.i like it
Very helpful video it is❤
Thanx a lot
It is my first ml project 😁
You're welcome! Congratulations 🥳
Can you share your RUclips channel link sir
Good morning sir,i have doubt in heart disease prediction concept ,i am also doing research in same topic sir. Myself new for research kindly do needful sir
Your videos are so helpful
Thank you🙌
Thankyou for the video❤️🙏
Great explaination.
Thanks 😊❤️
In your earlier video discussing the prediction of diabetes, you highlighted the significance of standardizing the data before inputting it into the Machine Learning model. However, I noticed that in the training of this particular model, the standardization process was not implemented. I am interested in understanding the reason behind this oversight.
if anyone else has this questioin, I got my answer from this video ruclips.net/video/WLwjvWq0GWA/видео.html from 6:05
Simple and excellent
Thanks a lot
well explained project tutorial.
U deserve more subscribers bro.. 👍
😇😇
Nicely explained
thankyou sir very excellent video
25:01 last watched
you are the best. thank you very much :)
thank you mate for this video
god bless you
You're welcome!😇
Nice info and projects sir
Thanks a ton 😇
awesome video
Thank you sir this was very helpful 🙏
Glad it helped
In video at 10:15 I not understand how you get Sklearn
Where can get that is any folder name as sklearn or syntax, please get me to clarify the doubt
hey, thank you for making this video it really helped me out. I am currently working on the same project I was hoping that you could help me out more. I want to 3 more ML algorithms for this same project can you suggest me which algorithms will be suited best. And how do i work with them.
Are you doing final year. Cse project?
@SUPREETHA S ISE2B hey, please can you help me in this project?
@@athmika2211 iam
Can refer this link for other 3 algorithms ruclips.net/video/oRRoy74_GsU/видео.html
Hello, brother, can you help me out regarding this project?
Good job bro 👍
Thank you so much 😇
Subscribed 🥳
Bro I like the way you're explaining everything it's just feel so easy the way you teach these things just wanted to ask you don't u think u made mistake here by predicting x pred because all I know is we need to predict y pred because that's our target variable why r u predicting x data please let me know
thank you
Thanks for amazing video .. can project like these are ok to apply for intership ...
@Siddhardhan Why we used logistic regression for heart disease and support vector for diabetic ....whereas both are binary classification problems?
Awesome work
Thanks a lot 😊
Hi Sir, Thanks for providing insightful projects . It helps me a lot. Can I use linear regression model for Diabetes prediction too, Sir ?
Yes bro
Appreciate your work @Siddhardhan. Can you please do end-to-end projects either ML (or) DL (Starting from understanding the business case study to Deployment)?
Can you please share the data file used in the predictive system too?
rename in line 6 as heart_data = pd.read_csv('/content/heart_disease_data.csv')
thank you so much
@Siddhardhan sir suppose if I want to see the graph of predicted value(0 or 1) than how can we see the graph in this model......?
Can we make a proper user interface for that ??
Nice work, try to use a little seaborn for Visualisation and feature scaling.
Thank you!
Thank you so much
Q: when the model is trained on X_train and Y_train then why we need to check the accuracy on same data set, ideally should it not the prediction done on X_train and calculate the accuracy between predicted numbers and Y_test
Hi, amazing video
Thanks
I have a question please
How do i enter multiple datas into the "input data for predicting" part in your code.
you can get those values from the dataset
Thanks sir for the easy explanation, I have a doubt. i am implementing this for my bachelor project. can i create my own data set with minimum variables, and run LR. because i am using IOT sensors data like Heart beat, BP, Oxygen level etc
Good work
Thanks😇
why we didnt do standard scaler of the data , why we didn't scale the data?
Thank u 🙏
It is an excellent explanation brother.. please make a video on Applying different machine learning techniques for prediction of covid-19 severity
Any recent dataset bro? Why did you download from kaggle. There are more sources ?
Which type of algorithm you used in this project sir?
What is the reason that you didn't use the StandardScaler on this dataset within the preprocessing part while on the diabetes side you did?
Hi sir, do you have the Dataset downloaded? It seems that Kaggle has removed the page & the dataset.
Hi sid great project 👍... A request 😊 can make a video on deployment of this project.
yeah. very soon.
Yeah please! It would be really helpful. TIA
Example is good but highly incomplete due to : 1) Data is not standardized 2) accuracy score by itself is not a good indicator of logistic regression 3) You also need confusion matrix, ROC - AUC, Precision/Recall/F1 score 4) since it's a medical diagnosis, accuracy score threshold needs to be higher 5) dataset is slightly imbalanced
Dataset not available in the link given... Please upload 🙏
drive.google.com/file/d/1CEql-OEexf9p02M5vCC1RDLXibHYE9Xz/view?usp=drivesdk
hey, if we seperate the data before splitting it, won't the target varible mix up(like 1st target with 5th fifth person and so on) with paramenters and give innaccuracy results?
Good sir
Hellow, Sir Nice Video Can You told me which Algorithium is used in this
sir please do a project on brain disease prediction using CNN ,it will be really helpful
brother can we deploy the input boxes in a local server and so that when we click on the "predict-button". it will says that whether the peron has risk of heart diesase or not??
Yes, you can. The model can be exposed as api or you can also use streamlit. Please refer my deployment videos
can we get theory report of this project sir.the explanation was so good ,understandable to everyonr and useful.
can i get theory report of it
great
why the standardization of the data is not done in this project
I think because it contains both numerical and categorical columns. So if you do perform standardization it will also standardize the categorical features which should not be done
Hi Sir Can you make a video for example if we want to add a button for visualization also in the deployment how can we do that?
It is showing [1] for all values of input.
Sir, in chrome ur entering data set ryt that page how we will get that any installation should be done for that??
Can you please upload a project that predicts based on images? For example: I have image of two type: Cancer & No-cancer. I want to develop a model that can predict whether a test image has Cancer or not.
Hi sir Thanks for the video,can u share the dataset link you used in this video.The link you have provided is showing error for me
Sir, in this project, are we predicting which type of heart disease the person has?
Getting "NotFittedError" while building predictive system...how to fix that?
I guess You need to use the model.fit() function before making any predictions. I hope this could fix that error.
Sir i am little bit confused...
Can u tell me...how that one input instance is predicted?
That one input instance is predicted using training set?
bro we can do this project with K-NN model ?if yes....how? plz reply
do you have base papers on this topic
How can we say a person have heart disease by only 0.81 accuracy? Make complete end to end realiable project
thanks for sharing . how we can plot data with multiple input variables in sklearn.
Hi, if distribution of target variable is 80/20 ratio what problem do we get..can't we apply this logistic model? how do we fix that situation. Please help?
Hiee sir I need one help actually I made that Heart Disease prediction using machine learning project by watching your video one to two input ran fine but after that it's showing error how to fix that please please please tell me