Data Science, Forecasting and Knowledge Discovery

Fundamentals of Data Mining

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). You might be wondering what benefit you can get out of these techniques?

Data mining

Data mining KDD Data Science Forecasting

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

MAY 20, 2021

The dataset and code used in this blog post are available at [link] and all results shown here are fully reproducible, thanks to the Domino reproducibility engine, which is part of the Domino Data Science platform. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79.

Machine Learning

Machine Learning Metrics Data mining Knowledge Discovery

Data Leaders Brief

Fundamentals of Data Mining

ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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