I will build a machine learning prediction model with python and explainable ai

Hi! I'm Ayesha, a Python developer who builds machine learning models and data apps.

Have data but not sure how to turn it into useful predictions? I will build a machine learning model for your data, test it properly, and explain the results in a way that is easy to understand.

What I can do:

- Clean and prepare your data (Pandas, NumPy)

- Build classification and prediction models (Scikit-learn)

- Predict things like customer churn, sales, or risk categories

- Build content-based recommendation systems

- Compare models and report accuracy, precision and recall

- Explain predictions using SHAP (explainable AI)

- Create an interactive Streamlit dashboard (Premium)

- Deliver clean source code with simple documentation

Example of my work: a customer churn prediction platform with a live risk-scoring dashboard, and a movie recommendation system.

Good for: students, small businesses, startups and research projects with data in CSV or Excel.

Please note: results depend on the quality and size of your data, so I cannot promise a fixed accuracy. I promise proper testing and honest reporting.

Message me before ordering and tell me a little about your data and goal.