
7 Tips to Craft a Perfect LinkedIn Profile
If you have any certifications and licenses or if you have worked on some major project, it is time to show off your work! This is an important section and you should definitely not miss this if you are willing to present yourself as a highlyskilled professional. This will help the recruiter to understand your strengths. One thing to make sure of is that you do not need to put a long list of skills. The about section of your profile should be able to articulately define you as a professional and a person. Don’t make it too short nor make it too long. You also have the option of adding media samples that can quickly access your work portfolio. It doesn’t matter if you are a fresher or an experienced professional, check put some good profile descriptions before writing work experience on LinkedIn. And the bonus part is that we will be adding some snippets from our website’s founder’s LinkedIn profile as well to help you gain a better understanding of how things work. You can go through your LinkedIn network and endorse connections who genuinely deserve it and this in turn will prompt people to do the same for you. You have to be mindful of the keywords you use as they can make or break your profile. One of the best things you can do for your career is to formulate a strong LinkedIn profile wellsuited according to your professional needs. Be active in managing your endorsements and you can also choose which ones to show and which ones to hide. You can take a step further by adding recommendations. A few things that make up for a good summary include your passion, motivation, skills, experience, fields where you have excelled, and other relevant accomplishments.

Decision Tree From Scratch!! Part I
Introduction In this blog post, I am going to talk about a powerful supervised learning algorithm that is often used in Machine Learning competitions. It is called the Decision Tree algorithm. It can be used for both classification & regression tasks. In this post, I will discuss the need for treebased algorithms, the basics of […]

The Power of LinkedIn Networking
LinkedIn is one of the largest social networks which helps you in expanding your professional sphere on the internet. It can be used to find suitable jobs or internships, initiate and strengthen professional relationships and master the skills you need to succeed in your career. Alongside building a network, you can gain access to infinite […]

How to get a job/internship as a fresher
INTRODUCTION “How to find a job?” “When will I get a job?” If you are a fresher and straightup graduate, this is one of the most recurring questions in your thoughts. Let’s be honest for a moment, finding a job especially as a fresher is not always what someone describes as a pleasant experience. With […]

Logistic Regression in Machine Learning (from Scratch !!)
Introduction In this blog post, I would like to continue my series on “building from scratch.” I will discuss a linear classifier called Logistic Regression. This blog post covers the following topics, Basics of a classifier Decision Boundaries Maximum Likelihood Principle Logistic Regression Equation Logistic Regression Cost Function Gradient Descent Algorithm After the discussion of […]

Data Science & Its Applications
WHAT IS DATA SCIENCE? There are high chances that you have come across the term ‘data science.’ It is highlysupported by the fact that a career in data science is deemed to be one of the mostsoughtafter and promising careers of the times. Given the enormous amounts of dataproduced on a daily basis, it becomes […]

Firms to look out for in Data Science and Analytics
Introduction “The world is one big data problem.” — Andrew McAfee Data science is quite a hot topic these days and for all the right reasons! In 2022 data science is more relevant given the enormous amounts of data generated across the spectrum. A data scientist is the MVP in organizations. They are the data […]

Fashion Image Search Engine
Introduction Computers are able to see, hear and learn. Welcome to the future. Dave Waters In this post, I want to talk about a computer vision use case, it’s called Content Based Image Retrieval or CBIR in short. In simple words, retrieving images relevant to the user needs from image databases on the basis of lowlevel visual features. Image […]

IPL Score Prediction Using Machine Learning
Introduction With the IPL season coming up (for those who are not familiar with IPL, it’s the EUROPA League or the NBA of Cricket in India and all the cricketing nations) I wanted to share the use case of Data Science in cricket. Data Science and Analytics are being used in Sports extensively. You can […]

Probability Distributions that every Data Scientist must know
Introduction Probability of an event tells us how likely is that, the event will occur. The applications of probability begin with the numbers p0, p1, p2… that give the probability of each possible outcome. There are dozens of famous and useful possibilities for p. I will discuss four of them in this post. Before going […]