understanding tools for analyzing data
Note: You can now subscribe to my blog updates here to receive latest updates. A key step in applying machine learning models to your data is feature encoding and in this post, we are going to discuss what that consists of and how we can do that in python using scikit-learn. Not all the fields in your …
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Note: You can now subscribe to my blog updates here to receive latest updates. In my introductory post about machine learning (ML), I listed a bunch of ML models by their output (regression, classification and clustering). These models can be classified differently as either supervised or unsupervised learning models. Supervised learning models In a supervised learning model, …
Continue reading “Difference between supervised and unsupervised learning models”
Note: You can now subscribe to my blog updates here to receive latest updates. A few years ago, ‘big data‘ was the latest buzzword. Since about a year or two ago, we have moved on to ‘machine learning‘ (and blockchain). Machine learning (ML) is nothing new. It has been used for at least a few decades but …