Machine Learning Python Services - Prediction Models, Segmentation & AI Applications

Prediction models (sales, price, demand), classification (spam, disease, sentiment, credit), customer segmentation, anomaly and fraud detection, product recommendations, deep learning for images, up to AI web applications.

You can use your data (Excel, CSV, database) or relevant public datasets such as Kaggle or UCI. Your data is kept confidential.

Python with pandas, scikit-learn, XGBoost, LightGBM, PyTorch, Optuna, as well as Streamlit or FastAPI for deployment.

Simple models with clean data usually take 3–7 working days. Projects involving large data cleaning, deep learning, or web applications usually take 2–4 weeks.

Yes. We help with implementation of methods, algorithm comparison, evaluation, and explanation of results so that you understand every step.

Source code and notebook, saved model, evaluation report with graphs, documentation on how to run it, and web/API application if ordered.

Yes, revisions and explanation sessions are available according to the package agreed upon at the beginning.

Click the WhatsApp consultation button and describe your problem and data. We will provide a transparent cost and time estimate before starting, free consultation.