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Getting started with Bayanii

A quick guide to going from a CSV file to a working model. Jump to the questions

  1. 1

    Prepare your data

    Export your data as a CSV with a header row. Each column is a feature; one column is the value you want to predict (your "target"). More clean rows generally means a better model.

  2. 2

    Create an account and upload

    Sign up, then upload your CSV. Bayanii reads the columns and shows a preview plus basic data-quality checks.

  3. 3

    Pick a task and target

    Choose regression (predict a number), classification (predict a category), or forecasting (predict future values over time), then select your target column.

  4. 4

    Train and review

    Bayanii trains a lineup of models and picks the best. Review the accuracy, charts and the model card to decide whether the result is good enough.

  5. 5

    Use and export

    Upload new data or fill a form to get predictions, then export the results as a CSV for your reports and workflows.

Tips for a better model

  • Remove ID-like columns (row numbers, unique codes) — they don't help prediction.
  • For forecasting, include a clean date/time column with regular intervals (daily, monthly, …).
  • Aim for at least a few hundred rows where you can.
  • Check the data-quality findings — Bayanii flags issues it can't fix for you.

Frequently asked questions

What is Bayanii?

A no-code platform for building machine-learning models from your own data. You upload a CSV and Bayanii trains a lineup of models, picks the best, and shows you how it performed — no coding required.

Do I need to know machine learning?

No. Bayanii is built for analysts and researchers who have data and a question but don't write ML code. It chooses the algorithm and handles the setup for you.

What kinds of problems can it solve?

Three: regression (predicting a number, like price or demand), classification (predicting a category, like churn yes/no), and forecasting (predicting future values over time).

What data do I need?

A CSV file with a header row, where one column is the value you want to predict. More clean rows generally produces a better model.

Is my data safe?

Bayanii is in beta. Your account and uploaded data are stored on managed cloud infrastructure, and we don't sell your data. While we're still hardening security, please don't upload sensitive or personal data. See the Privacy page for details.

How much does it cost?

Bayanii is free to use during the beta.

Does it work in Arabic?

Yes — the entire interface is available in Arabic and English, with right-to-left layout and terminology aligned to the SDAIA glossary.

Start building

Still have a question? Contact us.