You will get a Deployment ready Dockerised ML API (Scikit-Learn + FastAPI + Docker)


Project details
I provide end-to-end machine learning classification systems to help solve real-world business problems. The project starts with understanding your data and requirements, followed by data preprocessing, feature engineering, and training of one or more classification models. I evaluate model performance using appropriate metrics and select the best-performing solution. The final model is deployed as a live REST API using FastAPI and Docker making it easy to integrate into your application or workflow. You will receive a reliable, scalable system with clear documentation and example usage.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$28
|
Standard
$55
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 0 | 0 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 2 | 5 |
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 Model Variation
(+ 1 Day)
+$15
Model Validation/Testing
(+ 1 Day)
+$15
Source Code
+$10About Mohd
Data Cleaning and Visualising
Muzaffarnagar, India - 5:07 pm local time
I can help you with:
• Data cleaning and preprocessing using Pandas & NumPy
• Creating insightful visualizations with Matplotlib & Seaborn
• Identifying trends, correlations, and patterns in large datasets
• Automating repetitive data tasks using Python scripts
• Delivering easy-to-understand reports and visual dashboards
I focus on accuracy, clarity, and efficiency — ensuring you get data insights that truly drive results.
Steps for completing your project
After purchasing the project, send requirements so Mohd can start the project.
Delivery time starts when Mohd receives requirements from you.
Mohd works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Understand the problem, target variable, and client goals
Data Review & Preparation
Check data quality clean it, and prepare features

