'MODEL-CENTRIC vs DATA-CENTRIC Approaches in Machine Learning' datacentricperspective datascience
Figure 3: Notebook that shows the entire machine learning process from data collection to training and testing models
The next step would be to adequately fix these tables by filling them or removing them based on relevancy. The mean value of each column was opted for here. All of these were done in cells [45] to [51] and the result of the changes can be seen in cell [52], with all the rows adequately filled. The remote sensing data was from 2014 but as seen, when a merge was attempted the number of rows was reduced from 30 to 18. This is because there is inconsistency in the primary identifier, in this case, the names of the states.
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