Normalization of data in Jupyter Notebook
Deep Learning for beginners.
Normalization is a technique often applied as part of data preparation for machine learning. The goal of normalization is to change the values of numeric columns in the dataset to a common scale, without distorting differences in the ranges of values. For machine learning, every dataset does not require normalization. So let’s start in jupyter notebook.
Firstly, we import libraries.
After importing libraries, we load a dataset. You can load dataset of any kind like txt file. But here I’m using .csv file.
Now to view it, we call it by name as shown below.
We can modify the names of columns.
To view overall description of data, we use describe method.
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