DrivenData Labs

MAY 24, 2023

Several additional approaches were attempted but deprioritized or entirely eliminated from the final workflow due to lack of positive impact on the validation MAE. Summary of approach: Our solution for Phase 1 is a gradient boosted decision tree approach with a lot of feature engineering.

Machine Learning 225

Machine Learning Machine Learning Data Science Decision Trees 225

Pickl AI

FEBRUARY 12, 2024

Machine Learning Algorithms Candidates should demonstrate proficiency in a variety of Machine Learning algorithms, including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. What is cross-validation, and why is it used in Machine Learning?

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Validation strategies, such as cross-validation, help assess a model’s generalisation ability and prevent overfitting.

Machine Learning 52

Machine Learning Machine Learning ML ML 52