TASK: To Experiment and Implement with Different Types of Encoding to deal with Categorical Data

Image Ref: Unsplash

In this blog we will explore and implement:

  • Python’s category_encoding library
  • Sklearn Preprocessing
  • Python’s get_dummies

What is Categorical data

Why do we need Encoding?

  • Most of the Machine learning algorithms can not handle categorical variables unless we convert them to numerical values.
  • Many algorithm’s performances even vary based upon how the Categorical variables are encoded.

Categorical variables can be divided into two categories:

  • Nominal (No particular order)
  • Ordinal (some ordered)


How To Implement Feature Selection From Scratch In Python

Image Reference

What is Feature Selection?


How to group data by time intervals in Python Pandas

What is Time-Series Data:

What analysis do we need for Time-series Data?

How Can We Do this?

Resample():


A Complete Beginners Guide to Natural Language Processing Gutenberg Project

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ABOUT PROJECT GUTENBERG:

OUR TASK:


Doing EDA of the whole dataset in one shot. Super Easy! Don’t believe it, do it for yourself!!

Output Image by Author

About Pandas Profiling:

About Pandas Profiling:


A quick and step-by-step beginners project to create an animation bar graph for an amazing Covid dataset.

Output Result: Image by Author

About the problem

About Dataset


Having Troubling Implementing Docker? Here is the most straightforward guide!

Image Source: Medium


What is a Moment in Statistics?

Moments in statistics:



Img Ref: Medium

Seaborn’s Coolness:

Shelvi Garg

I am a Data Scientist Associate. Though my interests and learnings are not limited! :)

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