You will get a custom machine learning model using Python
Project details
Turn your data into a practical machine learning solution built with Python. I will preprocess your dataset, engineer relevant features, train a suitable machine learning model, evaluate its performance, and provide clear results. Depending on your requirements, I can build classification or regression models and compare different approaches. You will receive clean, organized source code, model evaluation results, and useful insights from your data. I focus on reliable implementation, clear communication, and solutions tailored to your specific problem rather than one-size-fits-all models.
Machine Learning Tools
NumPy, pandas, Python, scikit-learnWhat's included
| Service Tiers |
Starter
$15
|
Standard
$45
|
Advanced
$95
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 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
+$5
Additional Model Variation
(+ 1 Day)
+$15
Additional Scenario
(+ 1 Day)
+$10
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 1 Day)
+$15
Data Source Connectivity
(+ 2 Days)
+$20Frequently asked questions
About Syed Faran
AI Engineer | Python Developer | ML & Data Analytics
Lahore, Pakistan - 2:32 am local time
I build practical AI and Python applications that help businesses automate tasks, analyze data, and turn ideas into usable software.
My core services include:
AI-powered web applications with Python & Streamlit
Machine learning classification and prediction models
Data analysis, visualization, and interactive dashboards
AI chatbots, LLM applications, and prompt engineering
Python automation and data-processing solutions
SQL/database-powered applications
Tech stack: Python, Pandas, NumPy, Scikit-learn, Streamlit, Matplotlib, Seaborn, SQL, Git/GitHub, and LLM tools.
I focus on clean implementation, clear communication, practical results, and solutions that are easy to understand and maintain.
Whether you have a dataset that needs analysis, an ML model that needs to be built, or an AI application that needs to become a working prototype, I can help turn the requirement into a functional solution.
Send me your requirements, dataset, or idea, and let's discuss the best way to build it.
Steps for completing your project
After purchasing the project, send requirements so Syed Faran can start the project.
Delivery time starts when Syed Faran receives requirements from you.
Syed Faran works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset & Requirements Review
I review your dataset, project objective, target variable, and requirements to define the appropriate machine learning approach.
Data Preprocessing
I clean and prepare the data, handle relevant missing values, encode features, and perform appropriate preprocessing.