3202 - Fundamental Modeling Techniques

3202 - Fundamental Modeling Techniques

Issued by GAIn® - The Global AI network

Different business problems require different machine-learning techniques. In this two-day badge, you will learn and practice the fundamental modeling techniques that help you to solve most of these problems (continuous, categorical, and unsupervised predictions) and provide you with the necessary basis to handle more complex models in the future. Significant time is spent on evaluation metrics and interpretation of your model output.

Skills

Earning Criteria

  • Linear regression model – Proficient in building and explaining a linear regression model.
  • Logistic regression model - Proficient in building and explaining a logistic regression model for classification problems.
  • Decision trees - Proficient in building and explaining a decision tree model for classification problems.
  • K-means - Proficient in building and explaining a K-means model for unsupervised learning.
  • Evaluation metrics & model interpretation - Applying different evaluation metrics for continuous and categorical prediction variables (MAPE, AUC etc.) and interpreting model outcomes and relations through model coefficients and visualization.
  • Exam