Categories data-science

349 posts

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How to write a production-level code in Data Science?

dreamstime/Scyther5 Ability to write a production-level code is one of the sought-after skills for a data scientist role— either posted explicitly or not. For a software engineer turned data scientist this may not sound like a challenging task as they might have already perfected their skill at developing production level […]

10 things every aspiring data scientist needs to know

The Harvard article “Data Scientist: The Sexiest Job of the 21st Century” first sparked my interest in the data science field. At the time, I had spent 3.5 years in management consulting and had built a great reputation building models and developing projections in MS Excel. After reading that article, […]

Moving into Data Science as a Career (Data & IT Management)

Previously, I have given an overall view of the skills and knowledge needed by a data scientist and also did a discussion on the mathematics that the data scientist should know. Continuing, I shall now touch on the Data and IT management knowledge that a data scientist should know. 1-Data Governance […]

My Journey into Machine Learning: Class 1

I am a first-year graduate student at New York University, pursing Computer Science. I have decided to maintain notes on my graduate course, ‘Machine Learning’ on Medium. I believe it is the most powerful medium (no pun intended!) to share and may help a lot of interested readers in getting […]

Scraping and Models and Games, Oh My!

(Beautiful) Soup of the Day Note: This isn’t intended to be a hyper-technical blog. However, if you’re a guy or gal who’s into that kind of thing, here’s this project’s code on my GitHub! Full disclosure: I’m exhausted. I presented my first major solo project here at Metis this morning. It was […]

Fighting Cancer with Artificial Intelligence

Cutaneous anaplastic large cell lymphoma (ALCL) By L. Wozniak & K. W. Zielinski — Own work, CC BY-SA 3.0 Fighting Cancer with Artificial Intelligence: Part 0 — Deep Learning This August, I heard the words that no one wants to hear from their doctor: “You have cancer.” I was diagnosed with a rare non-Hodgkin’s lymphoma. After […]

The Next Wave: Predicting the future of coffee in New York City

By Mario Aksiyote In this article we look at New York City through the lens of coffee in an attempt to explore a fundamental question of spatial economics: how are the locations of businesses determined? The geography of economic activity is a critical force that shapes cities around the world. From […]

Aspiring data scientist? Master these fundamentals.

Photo by Dmitri Popov on Unsplash Data science is an exciting, fast-moving field to become involved in. There’s no shortage of demand for talented, analytically-minded individuals. Companies of all sizes are hiring data scientists, and the role provides real value across a wide range of industries and applications. Often, people’s first […]

How to get more likes on your blogs (1/2)

Unravelling the mystery of claps on medium blogs using data analytics Being an amateur blogger, I always wonder what makes a good blog “good”. Is it just the content that is important or do we have to focus on other aspects as well? To solve this mystery I am deploying […]

How to get more likes on your blogs (2/2)

Estimating the claps you get, the data science way Wondered how you can get your story to trend more?? Is it the title, the images, the quotes or the content that gets you more claps? In this series by Alvira Swalin and me, we have tried to explore the relationship between […]