The dataset is available here. Let's download it and store it in the data folder in the 03-Threshold-Adjustments directory with the following commands:
cd ~/code/<user.github_nickname>/{{local_path_to("05-ML/03-Performance-metrics/03-Threshold-Adjustments")}}
curl https://wagon-public-datasets.s3.amazonaws.com/Machine%20Learning%20Datasets/ML_Player_performance.csv > data/player_performances.csv- Each observation represents a player
- Each column a characteristic of performance
- The target
target_5ydefines whether the player has had a professional career of less than 5 years [0] or 5 years or more [1].
🎯 In this exercise, you are the Data Scientist of a professional basketball team.
The coach wants you to help him in the recruitment process. He needs you to identify players that will last 5 years minimum as professionals. He does not want to take any risks though, and warns you that he wants a 90% guarantee that any player you send his way would actually last 5 years as a pro.
To start the exercise, open Threshold-Adjustments.ipynb in jupyter notebook and follow the instructions.
🚀 Your turn!