Since the first suspected case of Coronavirus, the world is facing serious traumas with a very high death rate. The information available from all countries regarding Active Cases, Deaths, Recovery, 1 Week Spike, Vaccinations provided and many other terms is increasing at tremendous speed. Data always plays a critical role in the ability to research, study, and combat public health emergencies, and nowhere is this more true than in the case of a global crisis.

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Exploratory Data Analysis (EDA)is used to analyze huge datasets and summarize the fundamental characteristics by visualizations. It is considered a very crucial step before working…

Collaborating with people from different backgrounds and skills made me thought out of the box and achieve my ambitions.

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How did my Journey with Omdena start?

Nearly a year back, when I was introduced to Python programming during my Bachelors in Computer Engineering, the practical applications it grasps fascinated me a lot. After studying the language thoroughly I started reading blogs and articles on Machine Learning and Natural Language Processing to understand the topics briefly and thus began my journey with online education. Also, I am still exploring novel theories and innovations that take place each day to enhance my knowledge and become a better individual!

“One hour per day of study in your chosen field is all it takes. …

Have you ever noticed that LinkedIn messaging automatically provides suggestions with relevant replies in response to previous messages received?

Similarly, the smart compose feature in Gmail also provides auto-responses to users. These are a few use cases of language models used in Natural Language Processing(NLP). It analyzes the patterns formed in the language used by human beings for the prediction of words accurately.

WHAT IS GPT3 (Generative Pre-trained Transformer)?

GPT-3 is a third-generation, autoregressive language model that makes use of deep learning to produce texts similar to those thought by humans, or if said in simple words it is developed to produce code or other data…

Ever wondered how you would have looked like if you were of a different gender? or if you could use a number or alphabet that never existed? or you were too lazy to go out and shop for clothes and instead try new styles at home without even wearing that cloth? Sounds fascinating, right? With the help of deep learning, this is not only possible but relatively easy. The neural networks that make this possible are termed adversarial networks.

It is a robust class of neural networks that are used fundamentally for unsupervised learning. It is composed of two neural…

For those who are looking to track the rate of spread, or conduct other research about the virus, numerous datasets have been made available through public and paid platforms. This story will highlight most of the widely used coronavirus datasets.

Global Coronavirus Datasets

  1. 2019 Coronavirus Data:- This dataset is simple reformatting of the John Hopkins University dataset into organized CSV files. It consists of 9 CSV files containing data from different countries including China, the United States, and Australia.
  2. 150 Million Covid-19 Tweets:-This is a dataset containing over 150 million tweets related to COVID-19, beginning from March 11th, 2020. …

“You say tomato, I say tomato; you eat potato, I eat a potato. Tomato, tomato; potato, potato. Let’s call the whole thing off!”

People tend to use both the terms interchangeably but both the terms are quite different. While both the terms help in the process of decision-making by uncovering the patterns behind the data and analyzing it. To put it in a limpid manner, one method looks towards the past and the other towards the future.

Examining the Past and Predicting the Future

Both terms are confounding and here is the example which can elucidate the difference between the two terms.

First of all, let us consider the colloquial definition of both the terms which posits that “Analysis” is the comprehensive examination of elements or structure of given data…

Anushka Sandesara

Machine Learning and Data Science Enthusiast

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