You will get an accurate AI prediction model for smarter decisions
Project details
As a dedicated and results-driven Machine Learning and Data Science developer, I specialize in building intelligent predictive systems tailored to real-world problems. I have successfully developed multiple end-to-end AI models — including a Heart Disease Prediction App (FOLA DSA Heart Disease Detector) built using Python, Scikit-learn, and Flask, as well as several custom prediction systems designed for specific datasets and business goals.I don’t just train models — I deploy them into interactive, user-friendly web applications using Flask or Streamlit, allowing clients to easily test and visualize results. I also ensure that every model I create is data-efficient, well-documented, and production-ready, making integration into existing workflows smooth and scalable.I can:
Develop AI/ML models for prediction, classification, and data analysis.
Perform data cleaning, preprocessing, and feature engineering to improve performance.
Build custom web apps for model deployment and real-time predictions.
Provide insightful visualizations and reports to help interpret model outputs.
Offer end-to-end development — from dataset analysis to deployment.
Develop AI/ML models for prediction, classification, and data analysis.
Perform data cleaning, preprocessing, and feature engineering to improve performance.
Build custom web apps for model deployment and real-time predictions.
Provide insightful visualizations and reports to help interpret model outputs.
Offer end-to-end development — from dataset analysis to deployment.
Machine Learning Tools
ChatGPT, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
+$20
Additional Graph/Chart
+$5Frequently asked questions
About Folakunmi
Scripts & Utilities | Artificial Intelligence, Python
Sokoto, Nigeria - 11:09 am local time
Steps for completing your project
After purchasing the project, send requirements so Folakunmi can start the project.
Delivery time starts when Folakunmi receives requirements from you.
Folakunmi works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection & Preprocessing
I will clean, organize, and prepare your dataset — handling missing values, encoding categorical features, and normalizing data for accurate model performance.
Feature Selection & Model Building
I’ll analyze key features and train multiple machine learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.) to identify the best-performing model.