Step 4. Machine Learning
We need to first figure out the problem we are dealing with falls under which category. It has to be one of the 4 categories. We will try to unders…
We need to first figure out the problem we are dealing with falls under which category. It has to be one of the 4 categories. We will try to unders…
In python sklearn models we use fit method to fit a model. What it does backstage is, it computes the mean and standard deviation to be used in futu…
Idea behind PCA: Principal Component Analysis is one of the dimensionality reduction techniques. If you are unsure of what is the need to reduce di…
Dimension of a tabular dataset is the number of columns it has. If we have a csv/xlsx file with 14 columns in it, then we say this file is 14 dimens…
