Feature engineering is the process of selecting from a dataset the relevant variables in their optimal form to be used as inputs in a predictive model.
Cross-validation with XGBoost — Enhancing Customer Churn Classification with Tidymodels
Towards Data Science - Medium
Feature Engineering for Time-Series Using PySpark on Databricks
Towards Data Science - Medium
One Year of Consistent Kaggling: What Did It Teach Me?
Towards Data Science - Medium
Machine Learning on GCP: From Notebooks to Pipelines
Towards Data Science - Medium
Time Series Forecasting: A Practical Guide to Exploratory Data Analysis
Towards Data Science - Medium