I will clean data and build machine learning models for your project
About this Gig
I provide practical machine learning services focused on data cleaning, feature preparation, and model training for real-world problems.
If you have raw or messy data and need a reliable ML mode, I can help you turn it into usable insights
What I can help with
- Data cleaning and preprocessing
- Handling missing values and outliers
- Feature engineering
- Training classification or regression models
- Model evaluation using appropriate metrics
- Clean, reusable source code
- Clear explanation of results
I focus on clarity, Correctness, and Reproducibility, not just accuracy numbers.
Please message me before placing an order so we can discuss you dataset, goals, and expectations.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
PyTorch
FAQ
Q1. What type of data do you work with?
I work with structured/tabular datasets (CSV, Excel, SQL exports) for classification and regressions problems.
Q2. Do you guarantee high accuracy?
No model can guarantee accuracy. I focus on proper data cleaning, correct evaluation, and building the most suitable model for your data.
Q3. Do you deploy models to the cloud?
No. I focus on model development and optimization only. Deployment can be discussed separately if needed.
Q4. Will I get the source code?
Yes. All packages include clean and reusable source code
Q5. Can you work with large datasets?
Yes, but please message me first so we can assess size, complexity, and timeline.
Q6. Which tools do you use?
I mainly use python with common ML libraries such as Numpy, Pandas and Scikit-learn

