Hands-On Tutorial To Extract And Analyse Your Linkedin Data.

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In this tutorial, you will the proper ways to extractlive personal data from your Linkedin account and use Python to analyze and draw useful insights from it.

First things first…

If you don’t have a Linkedin account, please run as fast as you can to Linkedin page to create one.

Actually it’s not a good habit to not have a Linkedin account in this modern world…lol

Linkedin is one of the biggest social network out there, and the chances are you are proud Linkedin member (if not create one now-please).

Linkedin…


A Step-by-Step Guide From Analysis Of Over 117 Online Python Courses.

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personal image created with Canva

Interested in Learning Python Programming Language in 2021?

If your answer is YES!, then this article is for you.

Why Python?

That’s a good question!!

Le’s see the data…

According to StackOverFow report 2020, Python is the most preferred programming language by industry professionals. The report also emphasis that employers prefer Python programmers and are willing to pay them more than any other programming language professionals.

StackOverFow report 2020:

Below are the snapshots of the report.


Data Leakage is one of the Biggest issues in machine learning and can lead to deceptive and poor model performance hence it needs to be properly dealt with before deploying your model in production.

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fountain image from unsplash

Data leakage is one of the most difficult problems when developing a machine learning model. It happens when you train your algorithm on a dataset that includes information that would not be available at the time of prediction when you apply that model to data you collect in the future.

In a more simpler term, data leakage happens when we accidentally share information between the test…


Data Leakage is one of the Biggest issues in machine learning and can lead to deceptive and poor model performance hence it needs to be properly dealt with before deploying your model in production.

Image for post
Image for post

Data leakage is one of the most difficult problems when developing a machine learning model. It happens when you train your algorithm on a dataset that includes information that would not be available at the time of prediction when you apply that model to data you collect in the future.

In a more simpler term, data leakage happens when we accidentally share information between the test…


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sorted items image from Unspash: v20sk

In this tutorial, you’ll learn the common tricks to handle Categorical Variables that will help in preprocessing your data to build machine learning models. More specifically, you will learn:

  1. the difference between categorical and continuous data in your dataset and identifying the type of data.
  2. to do exploration of such data to extract information from it.
  3. you will learn more about various encoding techniques in machine learning for categorical data in Python.
  • Label Encoding
  • One-Hot Encoding
  • Get Dummies
  • High Cardinality
  • Curse of Dimensionality
  • Feature Harshing

The Code for this tutorial can be found below:

PLEASE NOTE: This is part…


Here are some of the top places to find Data Science Remote Jobs

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There is no doubt that companies are changing their hiring process after the experience of the current pandemic.

If you are reading this, I assume that you already have some data science or machine learning skills and you are eager to work and earn a decent living for yourself. If not then it’s better to upskill now. There are several useful resources on platforms such as Coursera, Udemy, Skillshare among others.

I personally recommend learning through hands-on projects and I find this resource to be very useful

Dhanashree Paitwar

MBA in Applied Data Science

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