You will get I will Build a Machine Learning Model for Prediction or Classification
Project details
You will receive a custom machine learning model tailored to your specific prediction needs. With expertise in data science, feature engineering, and model optimization, I deliver accurate, interpretable models that drive real business decisions. I combine technical excellence with clear communication, ensuring you understand both the 'how' and 'why' behind every prediction. The models I build are not just academically sound but practically useful for your business context.
Machine Learning Tools
MATLAB, NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 5 | |
Number of Scenarios | 1 | ||
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$5 - $15About Oyelami
Data Scientist | Python, EDA, Machine Learning, Visualization
Lagos, Nigeria - 10:11 pm local time
I have completed real-world projects including:
• Heart Disease Prediction Model using classification algorithms
• Medical Insurance Cost Prediction using regression
• Honey Production Data Analysis & Visualization (trend analysis, insights)
• Matplotlib Visualization Project with clean, publication-ready charts
I specialize in:
✓ Data cleaning & preprocessing
✓ Exploratory Data Analysis (EDA)
✓ Machine Learning (Regression & Classification)
✓ Visualizations with Matplotlib & Seaborn
✓ Feature engineering
✓ Building predictive models
✓ Report writing & insights summary
I deliver clean work, clear communication, and fast turnaround.
Let’s work together to turn your data into actionable insights.
Steps for completing your project
After purchasing the project, send requirements so Oyelami can start the project.
Delivery time starts when Oyelami receives requirements from you.
Oyelami works on your project following the steps below.
Revisions may occur after the delivery date.
Project Scoping & Data Understanding
· Initial data exploration and quality assessment · Define project objectives and success metrics · Identify potential challenges and data issues · Establish project timeline and milestones
Data Preprocessing & Feature Engineering
· Data cleaning (handle missing values, outliers, duplicates) · Feature selection and transformation · Data normalization/scaling · Train-test split preparation