I will build a machine learning model for prediction or classification in python

Are you sitting on data but don't know how to turn it into a working prediction model?

I'm Wahab, a Python Data Scientist who builds accurate, well-tested ML models from raw data to a finished solution you can actually use or present.

What you get:

• Data cleaning & exploratory data analysis (EDA)
• Feature engineering done right
• Model built with Scikit-learn/XGBoost (Random Forest, Logistic Regression, SVM, etc.)
• Evaluation with real metrics (accuracy, precision, recall, F1, confusion matrix)
• Clean, commented Jupyter Notebook + summary report
• Source code you fully own

Perfect for:

• Developers/researchers needing a model for their thesis
• Startups validating an ML use case
• Businesses wanting churn/sales/risk prediction
• Anyone needing classification or regression done properly

My process:

1. You share your dataset + question
2. I clean the data and explore patterns
3. I build, test, and tune the model
4. You get the notebook, results, and a plain-English explanation

I don't copy-paste templates. Every model is built around your actual data and goal, with code you can read and maintain.

Questions about your dataset before ordering? Message me happy to advise.