I will build a machine learning prediction model in python

Want to know which customers will leave, which bookings will cancel, or which leads will buy? I will build a machine learning model in Python that predicts it, and tell you honestly how well it works.

WHAT I DO

Clean and explore your data (EDA) with pandas.

Build classification or regression models with scikit-learn: logistic regression, decision trees, random forest, gradient boosting.

Use a proper train/test split and compare against a simple baseline, so the score is not inflated.

Explain which features matter most and what the model gets wrong.

WHAT YOU GET

A Jupyter notebook with all the code, ready to rerun.

A short report with the scores, key charts, and plain-English takeaways.

The saved model file if you need it.

EXAMPLE

Public project on my GitHub: a late-cancellation model on 119,390 hotel bookings, turned into an overbooking rule and tested on later months.

Please message me first with your data and goal, so I can check if ML is the right tool. Sometimes a simple analysis is enough.