In this post, we will explore EDA with Power BI and Data Wrangler, both of which are parts of Microsoft Fabric. Both software have GUI and programming interface, so you can perform many tedious operations with a few clicks and perform more advance transformations using python. Data Wrangler is phenomenal. It’s smooth and quick. Sometimes there are a few small glitches here or there. For example, sometimes there is no preview or summary statistics.
In the next post, I will try to use LSTM again to predict the fish weight. I will use PyTorch now instead of Keras. I will use MLflow to log all of the parameters and the models. It’s practically ubiquitous – it’s also a part of Fabric. In a later post, I will Logistic Regression to anticipate disease or nutrient deficiency.
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