I will build a machine learning prediction model for your data
Clean, transform, and visualize your data for smarter decisions
About this Gig
Have data but need to know what's likely to happen next which customers might churn, what a price should be, or what your numbers predict? I build machine learning prediction models in Python (scikit-learn), turning your historical data into results you can actually use.
My process:
1. Clean and prepare your data
2. Compare and train the right algorithm for your problem (classification or regression)
3. Tune the model and evaluate its accuracy
4. Explain the results in plain language, with a script you can reuse on new data
I've worked with logistic regression, KNN, and XGBoost, including a full customer churn prediction pipeline built from raw data to an evaluated model.
Please note: I deliver the trained model, code, and results not a hosted app, website, or live API.
Not sure which package fits? Send me a sample of your data before ordering and I'll tell you honestly what it needs.
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
My Portfolio
FAQ
What file formats do you accept?
CSV or Excel. If your data is split across multiple files, zip them together before uploading.
What if my dataset is bigger than the package limit?
Message me before ordering — I can quote a custom scope for larger datasets rather than you overpaying for a mismatched package.

