Remove 2024 Remove Data Preparation Remove EDA
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Predicting the 2024 U.S. Presidential Election Winner Using Machine Learning

Towards AI

Model Fitting and Training: Various ML models trained on sub-patterns in data. Data Preparation (Synthetic Data) Generating a Dataset Synthetic data constituting age, education, income, political alignment, media consumption, and the target variable-party affiliation will be generated in the same way as real-world voting behaviour.

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Speed up Your ML Projects With Spark

Towards AI

Last Updated on June 25, 2024 by Editorial Team Author(s): Mena Wang, PhD Originally published on Towards AI. Image generated by Gemini Spark is an open-source distributed computing framework for high-speed data processing. This practice vastly enhances the speed of my data preparation for machine learning projects.

ML 80
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Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

AWS Machine Learning Blog

Legacy workflow: On-premises ML development and deployment When the data science team needed to build a new fraud detection model, the development process typically took 24 weeks. This new design accelerates model development and deployment, so Radial can respond faster to evolving fraud detection challenges.