A deep dive into the full data science pipeline, from exploratory data analysis to deploying supervised and unsupervised machine learning models. Focuses on real-world case studies in regression, classification, clustering, and feature engineering.
PandasCERTIFICATE_ID: UC-d0b057ba-5efe-4bcb-9db3-cab5763a0d30
Instructor
Jose Portilla, Pierian Training
Duration
44 hours
Platform
Udemy
Status
Completed
Recreated real-world scenarios and analytical reports.
Used NumPy and Pandas for numerical computing and data manipulation.
Conducted feature engineering on real-world case studies.
Implemented supervised classification and regression models.
Applied Scikit-learn for model training, evaluation, and tuning.
