An Introductory Guide to Data Science and Machine Learning
This course covers data science, machine learning, and big data basics, including key concepts, libraries, and hands-on Kaggle projects for practical learning.
This course is about data engineering using GCP, Python, Kafka, PySpark, and Airflow, covering the entire data lifecycle from ingestion to transformation.
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