Remove Data Engineering Remove Data Preparation Remove EDA Remove Supervised Learning
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When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

Kaggle

In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. What supervised learning methods did you use? Sports analytics is how I got started in data science.

ETL 71
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Harnessing Machine Learning on Big Data with PySpark on AWS

ODSC - Open Data Science

Our focus will be hands-on, with an emphasis on the practical application and understanding of essential machine learning concepts. Attendees will be introduced to a variety of machine learning algorithms, placing a spotlight on logistic regression, a potent supervised learning technique for solving binary classification problems.