This mock interview is designed to test your data science and machine learning skills, including data preprocessing, model building, and evaluation.
Structure:
- 30-minute coding challenge: Build and evaluate a machine learning model using Python.
- 15-minute Q&A: Discuss feature engineering, model selection, and evaluation metrics.
- 15-minute feedback session: Get feedback on your approach to solving data science problems.
Key Focus Areas:
- Data preprocessing and feature engineering.
- Model building and hyperparameter tuning.
- Evaluation metrics and model interpretability.
Outcomes:
Understand how to approach data science challenges and build effective machine learning models.