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:
Embark on an illuminating data science odyssey with our Multiverse series, featuring over 100 captivating projects meticulously curated to enrich your skills and knowledge. Whether you're a beginner or an expert, our series offers an array of projects to cater to every level.
🩺 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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[@knowledgedoctor3849]

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.

[@mohamedarsath5453]

why do we apply standardscaler after applying robustscaler ?

[@user-eo2kb8ny6s]

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?

[@knowledgedoctor3849]

Please check again when you impute your value or call your function...

[@KSEnglish-rk7ie]

where can i find this Dataset?

[@keerthipoojary2287]

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?

[@knowledgedoctor3849]

This is advance project, here we apply feature engineering techniques to create extra feature as well.
Check this one, and learn advance techniques

[@AmitBiswas-hd3js]

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

[@knowledgedoctor3849]

Check the full tutorial, Machine learning algorithm all of them i used here and choose the best one..

[@fatimavelogs9208]

Its predict unseen data

[@ramramo9090]

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

[@knowledgedoctor3849]

Convert TRUE into 1 and False into 0

[@ramramo9090]

@@knowledgedoctor3849 how

[@Pawankumar5449693]

​@@knowledgedoctor3849 brother I m facing same problem

[@mohamedarsath5453]

df = df.astype(int)

[@mhabzamirul5897]

WHAT IF WE REMOVE THE PREGNANCY FROM DATASET?

[@knowledgedoctor3849]

Yup you can check... Cz Pregnancy is just applicable for female not male..

[@mhabzamirul5897]

thank you sir. @@knowledgedoctor3849

[@mhabzamirul5897]

i have another question . why the blood pressure only showing 1 value like 72. not 120/72..@@knowledgedoctor3849