The fastest way to build a highly accurate machine learning model.
Video to this talk is yet to be released.
Redeemer Salami Okekale
Biomedical Scientist at Cedarville HospitalAbstract:
AIM: To demonstrate the fastest way to build and test a machine learning model.
METHOD: Use Pycaret to create automation.
- For this demonstration, we shall use a cleaned diabetes dataset stored in the csv format as training data.
- We shall find the algorithm that yields the highest accuracy using an open source python library called PyCaret.
- The machine learning model will be trained and saved.
- We shall test the model on real-world data to see how it performs.