I will build a machine learning model in python
Data Science Engineer: Finance, Stats and Teaching
Über diesen Service
Have a dataset and need a reliable prediction modelnot just a notebook full of code?
I will build a clean, reproducible machine learning solution in Python for classification, churn prediction, anomaly detection, clustering, or predictive analysis.
What I can deliver:
- Data cleaning and preprocessing
- Exploratory analysis and feature engineering
- Scikit-learn, XGBoost or LightGBM models
- Model comparison, validation and tuning
- Clear evaluation metrics and visualizations
- Clean Python/Jupyter source code
- Explanation of results and recommendations
I work mainly with structured/tabular data such as CSV and Excel files. I focus on correct validation and useful results rather than unrealistic accuracy promises.
Please contact me before ordering with your dataset/sample, target variable, and business or project objective. Deep learning, cloud deployment, and API integration are not included unless agreed separately.
Lets turn your data into a model you can understand and use.
Programmiersprache:
Python
Frameworks:
scikit-learn
•
Panda
•
Andere
Tools:
Jupyter-Notizbuch
•
Excel
•
Colab

