6 Key Steps of The Data Science Life Cycle Explained
Explore the Data Science Life Cycle's 6 essential steps: Data Collection, Data Preprocessing, EDA, Feature Engineering, Model Building and evaluation, and Deployment and maintenance.
Explore the Data Science Life Cycle's 6 essential steps: Data Collection, Data Preprocessing, EDA, Feature Engineering, Model Building and evaluation, and Deployment and maintenance.