Python Case Studies

Machine Learning business case studies solved using python. These are examples of how you can solve similar use cases for your own project and deploy the models into production.

I have discussed below points in each of the case studies.

  1. How to explore the given data?
  2. How to perform data pre-processing (missing values, outliers, transformations, etc.)
  3. How to create new columns based on existing columns (Feature Engineering)?
  4. How to select the best columns for machine learning (Feature Selection)?
  5. How to find the best ML algorithm for the given data?
  6. How to tune the predictive models.
  7. How to deploy predictive models into production?
  8. What happens after the model deployment?

Regression Use Cases

Classification Use Cases

Deep Learning Use Cases