I will build machine learning models for prediction
Civil Engineer
About this Gig
I will develop professional machine learning models using Python and industry-standard libraries such as Scikit-learn, XGBoost, Pandas, and NumPy. I specialize in data preprocessing, feature engineering, model training, evaluation, and optimization to deliver high-performance predictive solutions.
My services include:
- Data cleaning and preprocessing
- Feature engineering
- Model selection and training (XGBoost, Random Forest, Decision Tree, KNN)
- Model testing and performance evaluation (R², RMSE, MAE)
- Hyperparameter tuning
- Clear documentation and source code
I focus on delivering accurate, well-documented, and business-ready solutions that help you make data-driven decisions.
Expertise:
Predictive analysis
Programming language:
Python
•
R
•
Colab
Frameworks:
Google ML Kit
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Excel
FAQ
What type of datasets do you work with?
I work with structured datasets such as business, financial, sales, survey, and research data.
Which programming language do you use?
I use Python with libraries like Scikit-learn, XGBoost, Pandas, NumPy, and Matplotlib.
Will I receive the source code?
Yes, all packages include clean and well-commented source code.
Do you provide model optimization?
Yes, Standard and Premium packages include hyperparameter tuning and fine tuning.
Can you deploy the model?
Yes, deployment and API integration are available in the Premium package or as an extra.

