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[ EDTOOL · DATA ANALYTICS ]

ML Classification

Train and evaluate classification models in the browser — logistic regression, random forest, gradient boosting.

About this tool

Train and evaluate classification models in the browser — logistic regression, random forest, gradient boosting.

Tech stack

Streamlitscikit-learnPandas

Key features

  • Side-by-side model comparison
  • Confusion matrix + ROC curve
  • Export trained model as pickle

Who uses ML Classification?

Singapore training providers, WSQ ATOs, corporate L&D teams, and educational institutes use ML Classification inside our AI-LMS-TMS deployment. Whether you need a single tool integrated into your existing classroom workflow or the full 37-tool suite, we scope, deploy, and train your team end-to-end.

[ Free consultation · reply within 1 business day ]