I will build custom machine learning models in python
Python Developer
About this Gig
Are you looking for custom Machine Learning models to analyze your data or predict business outcomes? I build reliable ML pipelines using Python, Pandas, Scikit-learn, XGBoost and PyTorch.
Services offered:
- Data preprocessing, feature engineering and normalization
- Classification, regression and clustering algorithms
- Model training, validation and performance evaluation
- Hyperparameter tuning and model optimization
- Exporting trained model (.pkl or .pt) for production use
Whether you need a baseline predictive script or a complete ML pipeline, I deliver clean, optimized and well-commented Python code.
Please contact me with a description of your dataset and project goals before placing an order!
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
Colab
FAQ
Which libraries and frameworks do you use?
I work primarily with Pandas, Scikit-learn, XGBoost and PyTorch depending on your dataset and task requirements.
What deliverables will I receive?
You will receive the full Python source code (.py or Jupyter Notebook) and the saved trained model file (.pkl or .pt).
Do you handle raw data cleaning before model training?
Yes, basic feature engineering and data preprocessing are included to ensure optimal model accuracy.

