Overview

Introduction

Lionel Messi needs no introduction. Even folks who don’t follow football have heard about the brilliance of one of the greatest players to have graced the sport. Here’s his Wikipedia page:


Introduction

I was thrown a challenge by one of my colleagues — build a computer vision model that could insert any image in a video without distorting the moving object. This turned out to be quite an intriguing project and I had a blast working on it.

Working with videos is notoriously difficult because of their dynamic nature. Unlike images, we don’t have static objects that we can easily identify and track. The complexity level goes up several levels — and that’s where our hold on image processing and computer vision techniques comes to the fore.

I decided to go with…


Social Media Influencer
Social Media Influencer

Overview

Introduction

I’m fascinated by the power of social media. A seemingly obscure personality suddenly rises up from the ground and holds a following of thousands and even millions! Social media has given the average human a tremendous platform to engage with the world.

Most businesses (if not all), are using social media for marketing their products and services. …


Introduction

spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP experts out there!

Among the plethora of NLP libraries these days, spaCy really does stand out on its own. If you’ve used spaCy for NLP, you’ll know exactly what I’m talking about. And if you’re now to the power of spaCy, you’re about to be enthralled by how multi-functional and flexible this library is.

The factors that work in the favour of spaCy are the set of features it offers, the ease of use, and the fact…


Overview

Introduction

Do you remember the pre-digital camera era? It was a mystical process that only photographers and experts were able to navigate. We only saw a dark room bathed in dim red light. In short, retrieving photos was a time-consuming process.

Then the digital camera revolution began and we haven’t looked back since! …


Introduction

Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks and techniques but your score refuses to budge. I’ve been there and it’s quite a frustrating experience!

This is especially relevant during your initial days in this field. We tend to go with the familiar techniques that we’ve learned, like linear regression, logistic regression, and so on (depending on the problem statement).

And then along comes Bootstrap Sampling. It is a powerful concept that propelled my rank towards the upper echelons of these hackathon leaderboards. …


Introduction

Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are told where a bowler typically pitches during the death overs, bowlers are shown various visualizations to help them understand the weak spots of opposition batsmen, and so on.

Honestly, with the unprecedented rise in data generation and collection — sports teams and franchises around the world are tapping into the seemingly infinite trove of data at our fingertips. Sports analytics is a thriving field.

And cricket, as you can imagine, is ripe with data points. It’s a…


Overview

Introduction

Have you ever wondered who your next Facebook connection might be? Curious who the next request might come from?

What if I told you there was a way to predict this?

I love brainstorming and coming up with these problem statements when I’m browsing through my Facebook account. It’s one of the perks of having a data scientist’s mindset!

Most…


Overview

Introduction

I’m enthralled by how Google Search works. There are so many little nuggets that come up each time I search for a topic. Take the amazing “People also search for”? example. When I search for a specific personality or a book, I always get similar suggestions from Google.

For instance, when I search for “Lewis Hamilton”…


Overview

Introduction

I rely heavily on search engines (especially Google) in my daily role as a data scientist. My search results span a variety of queries — Python code questions, machine learning algorithms, comparison of Natural Language Processing (NLP) frameworks, among other things.

I’ve always been curious about how these search engines understand my query and extract the relevant results as…

Prateek Joshi

Data Scientist | Telegram: https://t.me/prateek_jo

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