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…
Exploratory Data Analysis or EDA is the third important step in a data science project pipeline. The first two are Data Extraction & Data Pre-p…
Step 2: Data Pre-processing: After Data Extraction , this is the second step in a Data Science project. (i) Check for inconsistencies. Here we check…
As you are learning Data Science , it is important to understand the complete workflow. This post will give you an overall idea about what goes on i…
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…
There are numerous ways to make your code reusable & minimize dependencies. One of the common challenges we face is every time we do an analysis …
