Project 2: Diabetes Prediction using Machine Learning with Python | End To End Python ML Project

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. In this video, we are building a system that can predict whether a person has diabetes or not with the help of Machine Learning. This project is done in Python. In this project, we use Support Vector Machine model for the prediction.
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Hi guys! I am Siddhardhan. I work in the field of Data Science and Machine Learning. It all started with my curiosity to learn about Artificial Intelligence and the ability of AI to solve several Real Life Problems. I worked on several Machine Learning & Deep Learning projects involving Computer Vision.
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Dataset File link: www.dropbox.com/s/uh7o7uyeghqkhoy/diabetes.csv?dl=0
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Machine Learning Project
Python Project
Diabetes Prediction using Machine Learning with Python
Supervised Learning
Supervised Learning Algorithm
Deep Learning
artificial intelligence
#machinelearning #deeplearning #python #pythonproject Instagram: siddhardhan23 Instagram: siddhardhan23

[@Siddhardhan]

Hi! You can join this Telegram group for regular updates about my videos: t.me/siddhardhan Thank you!

[@sruthess6493]

Hi Siddhardhan, I have few doubts in machine learning. I would like to connect with you to clarify those.

[@dalevas2187]

Not able to join the group

[@2kreptilesgaming572]

sir can you plss upload viodeos on ranom forest algorithm and naivebay's algorithm

[@AmanKumar-eg5rc]

Not working

[@dharmendrachandila8917]

bro u teaching style is amazing, i have stuck in a problem when ever i try to diploy my project by putting location of file on terminal ,i get this error 'c:\users\dell\desktop\multi_disease' is not recognized as an internal or external command, operable program or batch file. plz help me as soon as possible

[@abdullahalmiraj3593]

I usually don't comment like this in public. But I honestly feel this type of works must be appreciated! Thank you so much!

[@Siddhardhan]

thanks a lot for your positive words 😇

[@moneymemes]

@@Siddhardhan nyger

[@SardorSalimjonov-ew8lc]

I am a postgraduate student in China and I was struggling to find a project to do on ML. Now, thanks to you my brother, I did some good works. Thank you 🙏

[@babatundeolusegun8745]

Finally, someone cared to explain to me like a 5 year old. Thanks brother

[@dennyage4791]

Your course is most underrated course in ML I am lucky i found your channel

[@taruchitgoyal3735]

Hi Sir, Thank you for your tutorial. Can you please share how you decided with finalizing SVM as the most suited algorithm for building the ML model? Thank you

[@gauravfamily2209]

Pls, You should cover data visualization in the project because it helps that which algo is suitable for particular dataset.

[@sandhyareddy7957]

It's not enough to tell thanks for you sir, your videos are very helpful for me, you will explain every bit of coding, just because of your videos, i am learning ML projects. Thank you so much sir🙏🙏. keep uploading more ML projects sir.

[@Siddhardhan]

You're most welcome 😇

[@munna1431000]

Well done brother, even experienced professionals can't details like you .. keep it up.

[@Siddhardhan]

Thank you so much brother 😇

[@yashchunne7085]

@@Siddhardhan @munna I agree with you; I was also struggling with project ideas, and I had more confusion in ML. the way he had explained, hats off, and thank you for teaching and making us watch more videos. This is my first public comment.

[@mohsena.s8633]

Your expression is excellent Thank you and congratulations because you teach very well Please continue strong

[@yunusmohamed2221]

This was my first project with Machine Learning and i it was way more than i was expecting, thank you so much

[@abc-ym4zs]

like in machine learning in which ide we want to write code i am new to machine learning

[@navamsharma1888]

Much much much better neat and detailed explanation of every detail. Far better from my university teachers.

[@abdulaathil1249]

me usually don't comment like this in public. But I honestly feel this type of works must be appreciated! Thank you so much

[@liaqatali1415]

I am from Pakistan, I have learned a lot from Indian tutorials, you guys are doing great. I am in love with India and really want to visit or work there in tech companies

[@RajdeepMahanta-co1mw]

Thanks a lot! really an amazing video👍👍👍👍....need more videos from you to enrich the ML skills

[@snehaldolas1018]

I really loved and understood the model very quickly thanky you for making such videos😍😍🤗

[@anmolchaurasia9401]

damn man! this was recommended by my bro! & this is full of worth it.

[@stvvannanips]

very clear explanation thank you,please add a video about hybrid machine learning algorithms (like random forest with xgboost or adaboost etc) for predicting diabetes

[@ErLakhan]

Thank you very much Sir. This is a complete workflow to understand ML for beginner.

[@pranaypatil2837]

Thank you very much Bro you have helped me to build my first project for my Internship

[@TheLeoPoint]

Appropriate , structure wise step by step learning approach is best way

[@madhumithan6653]

Hi sir, Thanks for the great effort.Can u plz explain which model (linear or logisticregression or svm or random forest )has to be chosen at what criteria for the data,as i m confused to chose which model.

[@sandeepd1596]

Well done bro, even experienced professionals can't explain like you .. keep going like this only

[@Siddhardhan]

Thank you so much 😀

[@joelledanciu3964]

Hello! Thank you for this awesome and helpful example. Is there a video with the improvement of accuracy for our model?

[@deltechdiaries5907]

this channel is a gold mine sir, these videos are really helping us to apply the ML algorithms

[@Siddhardhan]

Glad to hear it!😇

[@deltechdiaries5907]

@@Siddhardhan can you suggest a good project, which i can use for my semester project?

[@indi4889]

@@deltechdiaries5907 can I use this project it self??

[@deltechdiaries5907]

@@indi4889 i did the same 🙂

[@indi4889]

@@deltechdiaries5907 project yahi kiya kyaa?ye kar sakte hai?

[@neerajsingh2649]

Hi @Siddhardhan I was searching for end to end project in machine learning and just landed on your KZbin channel. This is my second video and i feel you should also add feature selection , scaling , feature engineering and outliers handling so that we can learn complete process of model creation because right know I personally feel we are just creating test and train set and making our models.

[@Siddhardhan]

hi! I'll make end to end projects once i complete ML & DL concepts.

[@neerajsingh2649]

@@Siddhardhan ohhh great , Thank you

[@ezze_gg]

loved it man!!! keep up the work

[@sholay7255]

Hello sir, after the predictive system, how do we sort the result of the prediction system into write and wrong, since the model is not predicting 100% accuracy?

[@paayalverma7009]

thank you so much for the help, couldn't do this by myself. thanks!!!

[@user-jc7ro6xm4n]

I can't thank you enough You have done a great help🙏

[@aayatfiroz8680]

Thank you so much sir I've seen so many videos but your video is perfect

[@BoomiSaami]

Explanation is very simple and understandable brother

[@mahaalsalman2323]

Thanks a lot for your great effort you explain it very clearly .

[@syedz9072]

Great Bro. Wonderful Channel on Machine Learning.

[@kits129]

tried predicting inputs (3,78,50,32,88,31,0.248,26) or the 7th row in the csv file should return 1 but returned 0, is this normal?

[@christinejoyarce6184]

How can we improve the accuracy of our model here? I have literally binged-watch your series on ML! I'm going through the project videos one by one. If you already have a video that deals with improving the accuracy, please point me to it. Thank you so much! I looove your content!

[@Siddhardhan]

hi! thanks for your positive words 😇 we can optimise our model to get better performance. those topics will be covered in upcoming modules. kindly stay tuned.

[@chandanaudupa6830]

could you please let me know why are we using SVM for diabetes prediction and Logistic regression for sonar rock vs mine prediction as both are binary classification problem

[@AjitSingh-rg3zu]

Thank you sir for this lecture. This playlist is helping me a lot.

[@redaabakhti768]

very underrated thanks a lot very very useful

[@swayamkarapurkar9294]

The file diabetes.csv is not in the description ... pls add it

[@nishmithasuvarna9983]

Very well explained, thank you so much for making this video 🙏

[@Siddhardhan]

My pleasure 😊

[@sandipansarkar9211]

finished practicing coding .Feeling confident

[@Khaled_Elsadani]

Thank you wish you all the best

[@user-xb2zx1qi1r]

Hi Siddhardhan, Thank you very much for the tutorial. In the Rock vs Mine project, you mentioned that the data should be closer together for better predictions. However, for this video, there are 500 records for non diabetes and 268 for diabetes. The data is not close right?

[@user-ks9fx7cg3r]

Really great work.From Kenya thank you just began today and was amazing

[@harsh_crazy8595]

Do you got correct predictions value? I got the wrong predictions but it doesn't show any errors,when I try to use different input datas it always show the person is diabetic even I import the non diabetic input datas, How to correct this?

[@shamikgupta2018]

Hi Siddhardhan, thank you for a comprehensive project tutorial. At 24:30, the StandardScaler() has not limited the values between [0,1]. Clearly some values exceeded 1 and some negative vales are also there. Could you please explain.

[@shamikgupta2018]

I googled and got to know that the resized distribution should have the mean=0 and standard deviation=1.

[@eng_musawer]

So thanks, dear my teacher, it was so useful for me ❤

[@Uday61901]

hi sir ,im getting low accuracy , and my model is also predicting wrong when i gave separate input data, can i use any other model which one would be better???

[@revaprasadpoetry2317]

How to predict output using the inputs that are not available in datasets for regression models ..and scaling of datasets is done using min max scaler between -1 to 1....plz hlp

[@Asweetvoyage]

It is usually recommended to do train test split before feature scaling. Why you did feature scaling first

[@spatil4359]

Thanks sir for this project. It was much useful☺️

[@victorhenostroza1871]

Hello, what about if I have categorical features in my model? how can I add those kind of variables in a output of streamlit?

[@user-xp6rx4ii9l]

Hello sir, the stratify parameter is not helping me for same proportion of classes in y_train and y_test. what can be the issue?

[@skipa9906]

Great videos, I am new in ML and I have followed the steps but when i input the data I always get 0 and never get 1. I dont know where I can check to make it correct pls help

[@prashantmalik5333]

@siddhardhan Thanks for such good videos..

[@riantiwari1942]

I am very thanks towards the you and I will now be going to Internships of your projects because. MIT is also on the search for me👀👀👀👀👀👀

[@user-tf6wt7du2u]

thank you so much for your greatest work

[@FatimaSlim-qr3yk]

Amazing !

[@Design_with_mee]

Hello I’m having issues with being able to unpickele estimator from svc versus inconsistencies

[@AnuragYadav-qt9bh]

can u pls tell me how its gonna take input in real wold like how it will take the details of a actual patient and predict it we cant just give away our code and say put inputs according to the coloumns name it doesn't make sense pls explain

[@prathameshpatil5944]

Clear explanation 👌

[@anumaftab8043]

The Way You Explain Is Amazing... am confused in data standardization..When I Run the same code it Gives Name error..How To fix IT?

[@danielfrancisco8622]

Hello Sir do you have some tutoria like this using LSTM algorithm?

[@dikshagupta3276]

Nice explanation thanku I have one query if I do a comptition in kaggle after write all the code how we upload the file in kaggle how we do it pls explains in one video..

[@Cursed__Soul]

Sir which type diabetes (type1,type2 and gestational diabetes) can predict using this dataset

[@AshokRaj-qx6in]

While spling data x and y I got error like singleton array array(standards aler(), dtype object) cannot be considered a valid collection

[@bijayapoudel3014]

I've got this error: X.shape[1] = 8 should be equal to 9, the number of features at training time. How to fix this, brother?

[@sruthipurushothaman1489]

Can you tell where you got dataset.As I would like to know desription about attributes

[@vyasdeep7697]

Exactly how many modules are used in this project ? Can i get names?

[@swarnimamitra5501]

Hello sir, Thank you for this superb video. Sir I am facing a problem in executing the fit(), it doesn't give the appropriate output even I have also checked every line of code no error is there.

[@raj4624]

Tysm Proff. for crystal clear explanation

[@Siddhardhan]

you're most welcome😇

[@avijeetpandey5223]

Can this be trained to predict type 2 diabetes specifically...if so what changes should be made?

[@bselftudy5859]

hare krishna prabhu ji .... i like the way u make videos .. thanku for this video...

[@quratshah566]

Very well explained

[@callmeprem_]

I also want to know briefly the exact names of modules used in this project as I am using this project as important project somewhere....

[@clockai]

Hi, I tried your code and it gives same accuracy as like your result but input results are always coming Zero. Why?

[@jpbu220]

@SIddhardhan sir there is an error at classifier SVC kernal= that line kernal= isnt supporting

[@Outbreakify]

Thank you so much for the video and demo, I'm having a wierd problem where the describe() returns wierd values (count, unique, top, freq) instead of the output you're getting. Have any idea why? Update: Ahhhh firgured it out. I added header=None in the reading statement lol.

[@mashokkumarreddy1837]

Why can't we use linear regression model for predicting the diabetes

[@angadshagun8339]

how can you identify that svm is best algorithm for this type of problem? please answer me

[@seththunder2077]

Why did you decide to use Support Vector Machine and not something else? How do you decide what to use?

[@mauriceemmanuel5251]

I like what you are doing would love to know colab usage maybe a little simple tutorial of sort

[@Siddhardhan]

Thanks

[@Siddhardhan]

Already posted a video on Colab basics. Do check out

[@karthikvijay5626]

Anyone explain me why we are especially using SVM algorithm here ? could we use KNN insted of svm?

[@RohitKumar-uk8vx]

Hii It is a good work. But can you help me if the dataset would be of fundud images.

[@SaiKrishna-bb2et]

Just now i subscribed u r channel

[@growingfire]

Thank you very much!

[@paviajithra8198]

can u reply me .error showing X has 1 feature but Standard scaler has 8 features as input.

[@mihirpatel9214]

thanks man! but im getting an error saying " X has 8 features, but StandardScaler is expecting 9 features as input." at the very last step where we transform the input data. idk why but this is whats happening. please help me out. Thank you

[@munna1431000]

Am 9yrs in IT and feeling of starting to love coding

[@Siddhardhan]

That's great! You will do great things definitely.

[@pacsSaanihaamariyam]

I'm getting error saying #If input is 1D raised error in scaler.fit(x) what do I do??

[@amantiwari4264]

Bhaiya pls reply when I change the data in input_data that time also show the person in not diabetic that means in both cases showing same result person is not diabetic. Pls tell me how can i fix this issue ??

[@vimalachandrakasu3092]

Sir i am getting wrong ans for some input values i followed the same procedure.. Sir are u handled data missing in this video will u plz help me

[@charanpoojary4804]

THANK YOU VERY MUCH SIR

[@mndlrjsh]

Thank you sir... Very well explained..

[@Siddhardhan]

You are welcome

[@shrikant5224]

Sir I have to make a mini project but that should work on a website means I have to make a website on that it should work so what should I have to do ...

[@IamHariJags]

anna u are doing a great job !! just cant explain how happy i am by watching ur videos. You are explaining things in a straightforward and in a clear cut manner. long way to go bro!!!.... i just have a small doubt . why are we using SVM here . cant we use binary classification ..i am little confused.

[@Siddhardhan]

Thank you so much 😇 we can use other classification models as well. I just want to introduce different models in different projects. that's the reason.

[@khaleabhishek5023]

Amazing

[@akashbhatt9812]

You didn't mention the Problem statement, what's that and solution for same?

[@w3syssoftwaresolutionsindi180]

Hi Siddhardhan, after analysing the dataset, I found that few features need imputation.: My Analysis: - 11 entries found with BMI 0, which is not practical - similarly 35 women Blood Pressure entry was 0 - 5 women Glucose entry was 0 - 374 women were having 0 Insulin entry and surprisingly, out of them 236 were non diabetic and only 138 were diabetic. How to impute insulin value, which is crucial in predicting a person is diabetic or not..

[@DwayneWalker94]

thank you!