I will make a highly accurate machine learning model
I want to enhance my skills with your offered opportunities
About this Gig
WHAT I OFFER:
- Classification & Regression tasks (Predictions, Churn, Forecasting)
- Random Forest, Decision Trees, and XGBoost
- Complete Evaluation (Accuracy, Precision, Recall, F1, RMSE)
- Clean, well-documented Jupyter Notebook or Python source code
PACKAGES OVERVIEW:
- Starter ($90): Best for pre-cleaned, formatted datasets. Includes baseline model training, performance evaluation metrics, and commented source code.
- Standard ($150): Full data preprocessing (handling missing values, encoding categorical data, feature engineering) + model training.
- Premium ($280+): Standard package + advanced hyperparameter tuning to squeeze out the absolute highest accuracy possible.
TECHNOLOGIES: Python | Scikit-Learn | XGBoost | Pandas | NumPy | Jupyter Notebook
️NOTE: To ensure the best results, please message me with a brief description of your dataset and project
Expertise:
Decision trees
•
Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Colab
•
Other
My Portfolio
FAQ
What kind of work you will be delivered?
An absolutely well-versed and formatted file will be delivered with each specifications included in selected package.
Will the work be Ai-generated?
No — every model is built and trained by me personally based on your specific dataset and requirements. I may use AI tools for research and debugging assistance, just like any modern developer does, but the core logic, model selection, and implementation are my own work."

