2020, Data Pipeline and EDA - Data Science Current

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2020

Data Pipeline

EDA

ML Collaboration: Best Practices From 4 ML Teams

The MLOps Blog

DECEMBER 28, 2022

Data scientists frame the business problem and the objective into a statistical solution and start with the very first step of data exploration. EDA, as it is popularly called, is the pivotal phase of the project where discoveries are made. Approvals from stakeholders ML projects are inherently iterative by nature.

ML ML Data Scientist Machine Learning

When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

Kaggle

JULY 29, 2020

David: My technical background is in ETL, data extraction, data engineering and data analytics. I spent over a decade of my career developing large-scale data pipelines to transform both structured and unstructured data into formats that can be utilized in downstream systems.

ETL

ETL Data Scientist Data Science Machine Learning

ML Collaboration: Best Practices From 4 ML Teams

When his hobbies went on hiatus, this Kaggler made fighting COVID-19 with data his mission | A…

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