You will get a diabetes prediction machine learning model with insights
Project details
You will get a complete machine learning solution for diabetes prediction using Python, SQL, Pandas and Scikit-learn. This project includes data cleaning, exploratory analysis, feature preparation, model training and evaluation using real machine learning workflows.
I focus on building clear, organized and well-documented projects with visual insights and interpretable results. The workflow includes SQL-based preprocessing, data analysis, model validation and performance evaluation to help identify important predictive patterns in medical data.
The final deliverables can include source code, charts, model evaluation metrics and a fully reproducible notebook depending on the selected package. My goal is to provide clean, reliable and easy-to-understand machine learning solutions for data analysis and predictive modeling tasks.
I focus on building clear, organized and well-documented projects with visual insights and interpretable results. The workflow includes SQL-based preprocessing, data analysis, model validation and performance evaluation to help identify important predictive patterns in medical data.
The final deliverables can include source code, charts, model evaluation metrics and a fully reproducible notebook depending on the selected package. My goal is to provide clean, reliable and easy-to-understand machine learning solutions for data analysis and predictive modeling tasks.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, SQLWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$5Frequently asked questions
About Diego
Data Analyst | ML | Python & SQL | Biochemistry & Food Industry
Quito, Ecuador - 6:42 am local time
I have experience with data cleaning, analysis, visualization, and predictive modeling using tools such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn. I have developed projects related to diabetes prediction, kidney function analysis, and food quality assessment using machine learning techniques and real-world datasets.
I can help with:
• Data cleaning and preprocessing
• SQL queries and database analysis
• Python automation and data workflows
• Dashboards and data visualization
• Machine learning and predictive analysis
• Excel and reporting solutions
I am detail-oriented, adaptable, and focused on delivering accurate and efficient results. My goal is to help clients transform raw data into actionable insights that support better decision-making and business performance.
Steps for completing your project
After purchasing the project, send requirements so Diego can start the project.
Delivery time starts when Diego receives requirements from you.
Diego works on your project following the steps below.
Revisions may occur after the delivery date.
Data Analysis and ML Modeling
I will clean, analyze and prepare the data before training and evaluating the machine learning model.