You will get Diabetes Prediction Using Machine Learning
Project details
This project focuses on predicting the likelihood of diabetes using machine learning and patient health data.
The model analyzes medical attributes such as glucose level, blood pressure, BMI, age, and insulin levels to identify patterns associated with diabetes risk. Using predictive modeling techniques, the system estimates the probability of diabetes and provides insights based on the data.
This project demonstrates how machine learning can assist in healthcare analytics by identifying potential health risks early and supporting data-driven medical decisions.
The model analyzes medical attributes such as glucose level, blood pressure, BMI, age, and insulin levels to identify patterns associated with diabetes risk. Using predictive modeling techniques, the system estimates the probability of diabetes and provides insights based on the data.
This project demonstrates how machine learning can assist in healthcare analytics by identifying potential health risks early and supporting data-driven medical decisions.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Data Studio, Google Sheets, Kubeflow, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, PyTorch, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 3 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 3 | 10 |
Number of Graphs/Charts | 1 | 5 | 9 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$50
Additional Scenario
(+ 2 Days)
+$30
Additional Graph/Chart
(+ 1 Day)
+$10
Data Source Connectivity
(+ 1 Day)
+$30
Source Code
(+ 2 Days)
+$40About Sulthana
AI Market automation| Demand Forecasting | Healthcare Prediction | Bu
Alappuzha, India - 6:40 am local time
Many companies struggle with unclear sales trends, inefficient marketing spending, and poor demand planning. I help solve these problems by turning raw business data into clear insights and forecasts.
My services include:
• Demand forecasting for wholesalers and e-commerce businesses
• Marketing performance analysis and ROAS optimization
• Sales trend analysis and reporting dashboards
• Business intelligence insights for better decision making
Using modern analytics and AI tools, I help businesses understand:
• What products will sell in the future
• Where marketing budgets are being wasted
• How to improve profitability using data
If you want to make smarter decisions based on your business data, I’d be happy to help.
Let’s connect and discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Sulthana can start the project.
Delivery time starts when Sulthana receives requirements from you.
Sulthana works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 – Data Preparation
Clean and prepare the medical dataset for analysis.
Step 2 – Exploratory Data Analysis
Analyze key health indicators such as glucose, BMI, and age.