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Want to be a Junior, Senior, or Principal Data Scientists?
A Data Scientist is expected to have knowledge in three areas: Statistics, Engineering, and Business. However, you’re not expected to master ... View More
Becoming a Level 3.0 Data Scientist
Companies are hiring Data Scientists on three levels: Junior, Senior, or Principal. Whether you’re just getting started with Data Science or looking to switch careers, you will inevitably find…
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Many corporate executives, startup founders and big consultancies have been too optimistic about AI, which is why we're now seeing AI sliding from the top of the hype cycle down the 'Trough of Disillu... View More
This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when start... View More
Building a wormhole, huh?
A recent article, released in the preprint newspaper arXiv on July 29, discovered a way to construct a near-permanent wormhole, one that collapses but slow enough to write me... View More
Physicists Just Released Step-by-Step Instructions for Building a Wormhole
All you need are two black holes and a few cosmic strings and voila! Instant wormhole.
The 5 Feature Selection Algorithms every Data Scientist should know
This post is about some of the most common feature selection techniques one can use while working with data. Article by Rahul Agarwa... View More
The 5 Feature Selection Algorithms every Data Scientist should know
I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. How many
The 5 Feature Selection Algorithms every Data Scientist should know
Feature engineering and feature selection are critical parts of any machine learning pipeline. We strive for accuracy in our models... View More
The 5 Feature Selection Algorithms every Data Scientist should know
I grapple through with many algorithms on a day to day basis, so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. How many
