Welcome to the **Turkey Weightlifting Regression Challenge!**

Your task is to build a predictive model to determine the maximum weight a turkey can lift based on a variety of physical and personality features. Farmer Greene has carefully documented the characteristics and training regimens of each turkey in this year’s competition, and your goal is to use these data points to uncover what makes a turkey strong!

The dataset includes:

+ **Physical attributes** such as turkey weight, wingspan, and age.
+ **Training factors** like weeks spent in training, practice sessions, and feed protein content.
+ **Unique quirks** like feather shine score, barnyard rival count, and gobble style.

As the competition progresses, you’ll get to explore the relationships between these variables and predict the champion gobbler’s lifting abilities! Use your skills in feature engineering, regression modeling, and creativity to uncover patterns in this whimsical world of turkey athletics.

Will you find the secret recipe to turkey strength? Gobble up the data, and let’s find out! 🦃📊