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


Informazioni su questo servizio
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.
Scopri di più su Ayesha Nasir
I will build a machine learning model with python and scikit learn
- DaPakistan
- Membro daset 2026
- Tempo di risposta medio2 ore
Lingue
Urdu, Inglese
FAQ
What kinds of problems can you solve?
Classification and prediction problems on tabular data, such as churn, sales, risk or category prediction, plus content-based recommenders.
What data format do you need?
CSV or Excel works best.no issue if data is available in another format
Will my data stay private?
Yes. I use it only for your order and never share it or show it in my portfolio.

