Advance Project: Diabetes Prediction Using Python | Machine Learning | KNOWLEDGE DOCTOR

🚀 Welcome to the Multiverse of 100+ Data Science Project Series! 🌐 Episode 10 ventures into the realm of healthcare analytics with Diabetes Prediction using Python.

📚 Series Overview:
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🩺 Episode 10 : Diabetes Prediction
Join us as we tackle the crucial task of predicting diabetes using Python and machine learning algorithms. Learn how to analyze medical data, extract relevant features, and build predictive models to identify individuals at risk of diabetes. From data preprocessing to model evaluation, this episode equips you with the tools to make informed healthcare predictions.

🔧 Tools and Technologies:

Python
Jupyter Notebooks
Pandas
NumPy
Scikit-learn

📈 What You'll Learn:

Understanding diabetes and its risk factors
Preprocessing and analyzing medical data
Feature selection and engineering
Building predictive models using machine learning algorithms
Evaluating model performance and interpreting results

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Connect with like-minded data enthusiasts, share your insights, and seek support on our vibrant community forums. The Multiverse community is your platform for collaboration, learning, and growth in the dynamic field of data science.

🔗 Resources:
Access the code, datasets, and additional materials on our GitHub repository. Follow along with the tutorial and uncover the secrets of Diabetes Prediction using Python.

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[knowledgedoctor]

Hi Everyone, This is an advance machine learning project. It's Take 3-4 Hour to Record + Editing.
You can use this project for your research paper, final year even though for thesis or defence.
Try to cover all of the basic & advance techniques ✌️
So Support Dena🌻

[uminhtetoo]

Thank you so much for sharing your experience and knowledge, Sir.

[jayanayak]

Sir can we use this code as deep learning like we are training images instead of csv file we can predict like nodr, mild, moderate, sevear, proliferate❤❤ please reply sir🙏🙏🙏

[FaysalAhmed-un]

your BMI value and NewBMI value doesn't match. for example, in first row, BMI is 33.6 so newBMI should be Obesity 1, but in your code it show Obesity 2. how can i fixed it

[VaishnaviBadiger-xh]

Good evening sir
Sir i just wanted to know why I'm not able to perform one hot encoding Even after checking all the libraries and correct way of implementation

[mohamedarsath]

why do we apply standardscaler after applying robustscaler ?

[jayanayak]

Sir can you make a video on DIABETIC RETINOPATHY DETECTION USING DEEP LEARNING

[ramramo]

Bro in handling categorical features of dataset instead of 0 or 1, I m getting True or false what to do

[the.travel.times.]

So my faculty asked for the dataset can you please provide Kaggle Dataset link.
It will be very helpful for us.

[BholendraPratapSingh-ef]

Thank you very much sir ...
But I have a doubt that is after removing missing values still there is showing missing values with some less numbers as I used same function which you explain and wrote in your code, please help me out?

[educationmaster]

How can we diploye it like apps function?

[atreyeebose]

Can we drop original BMI, Insulin and glucose column?

[sahilmakwana]

Threshold = np.sort(df_scores)[7]
Threshold
outlier = df_scores> threshold
df=df[outlier] <--- executing this again shows and error like 'Item wrong length 768 instead of 760.' any solution?

[keerthipoojary]

I have only 8 features in my dataset .to predict the outcome i am giving 8 inputs.but it is asking for 18 features to predict.what is this error?

[mhabzamirul]

WHAT IF WE REMOVE THE PREGNANCY FROM DATASET?

[AmitBiswas-hdjs]

What are the algorithms you've used here, please reply

[humanmanan]

SHouldn't we exlude pregnancies while replacing with nan values since there might be a woman having no kids??