Month: May 2021

Online Machine Learning In Python with River (ML on Streaming Data)

The usual machine learning we perform is usually on data that is at rest, in other words we train our model on an already collected data which is in batches. This concept of building ML models on data at rest is termed Batch Machine Learning. It is the most common and useful. However what if …

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How to Set a Baseline for Machine Learning Models in Python

When building machine learning models, it is essential to have a baseline by which you can compare the performance of the model you are building. The baseline you set gives you the benefit of knowing whether you are on track and whether your model is improving or not. The type of baseline you set is …

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