In this project, I will build a model for predicting missed appointments. For this, the following steps will be performed:
- data exploration (learning about the data, cleaning and preparing the data)
- feature selection and engineering (selecting the most significant features and creating new ones)
- selection and tuning a supervised machine learning algorithms
- validating the algorithm to ensure acceptable performance of the model
The results are saved in the Jupyter notebook file in the repository. Presentation on Canva: link