You will get Machine Learning Models with Python
Project details
You will get a machine learning models depending on your project what you needs and best for the dataset. if you have more complex machine learning models please choose a best for you like 'advanced'. because I can build a pipeline for it and create a final machine learning model for you data, so you can get best model.
Machine Learning Tools
GitHub Copilot, MLflow, NLTK, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$120
|
Standard
$300
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 2 | 2 | 2 |
Model Validation/Testing | |||
Model Documentation | - | - | |
Data Source Connectivity | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Model Variation
(+ 4 Days)
+$150
Additional Scenario
(+ 3 Days)
+$150About Murat
AI Engineer | Machine Learning | LLM Apps | Chatbots | RAG Systems
Usak, Turkey - 4:28 am local time
I build production-grade AI systems that automate workflows, improve customer experience, and turn data into actionable intelligence.
I don’t just build models — I build real, deployable AI products.
If you are looking for a developer who can turn your idea into a working AI system, I can help you with:
✔ AI Chatbots that handle real customer conversations (GPT-powered)
✔ RAG systems that let you chat with your PDFs, documents, or database
✔ LLM-powered applications using OpenAI, LangChain, and vector databases
✔ Machine Learning models for prediction, classification, and anomaly detection
✔ End-to-end AI systems (from data → model → API → deployment)
🚀 What makes my work different
Most freelancers stop at “model building.”
I build complete systems that work in production:
Scalable backend APIs (FastAPI)
Clean data pipelines
Optimized LLM workflows
Deployment-ready architecture
🛠 Tech Stack
Python • OpenAI API • LangChain • Hugging Face
Pandas • NumPy • Scikit-learn • TensorFlow
FastAPI • REST APIs • Git • Vector Databases
🎯 Why clients hire me
✔ I solve business problems, not just technical tasks
✔ I build systems that are ready to scale
✔ I communicate clearly and think in terms of ROI
✔ I deliver fast, clean, and production-level code
If you want a reliable AI engineer to build your system properly the first time — let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Murat can start the project.
Delivery time starts when Murat receives requirements from you.
Murat works on your project following the steps below.
Revisions may occur after the delivery date.
please tell your data story
1- please tell me about the data, variables and stories. 2 - send your data requirements and project details. 3- i will check and let you know what models is good for you. 4- build a model or models and final models depending on scenario
2- send your data