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Text Classification in NLP using Cross Validation and BERT

Mlearning.ai

Depending on the data they are provided, different classifiers may perform better or worse (eg. Uysal and Gunal, 2014). However, there is data where a correlation between (vectorised) texts and classes would be expected, but the assumption is not satisfied, and the classifiers perform poorly. Dönicke, T.,

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New Data Challenge: Aviation Weather Forecasting Using METAR Data

Ocean Protocol

We will only use 1 airport for this data challenge, though METAR is a standard score updated at each airport. The data we use for this challenge is Miami's historical METAR logs from 2014–2023. When implementing these models, you’ll typically start by preprocessing your time series data (e.g.,