Course Objectives: Learn data preparation, exploration, and visualization techniques. Datasets Used: COVID19 dataset (John Hopkins University) and World Happiness Report dataset. Project Structure: ...

Current market valuations mirror the extremes of the 1999 Internet boom across several historical measures. Click here to read what investors need to know.

The COVID-19 pandemic marked a monumental shift in education methods from traditional in-person classes to distance learning. Using data on daily usages of 372 online learning products by students ...

The original data frame contained 173 variables divided into sections as follows demographic and pre-COVID-19 disease history, COVID-19 infection and treatments, COVID-19 vaccination, chronic fatigue ...

COVID-19 data analysis using Python in Jupyter Notebook involves the use of various libraries and tools to explore, visualize, and interpret COVID-19-related datasets.

Covid-19 Data Analysis using Machine Learning Abstract: The COVID-19 epidemic began in Wuhan, China and has now expanded to the majority of a world’s nations. The propagation of a pandemic is ...

To provide a holistic understanding of the complex interplay between human behavior and the COVID-19 pandemic, researchers have been employing big data techniques such as natural language processing, ...

We used data on these features and 597 patients from a long COVID clinic to train three machine learning models to identify potential long COVID among all patients with COVID-19, patients hospitalised ...

The COVID-19 pandemic has affected many in-person laboratory courses across the world. The viral spreading model is complicated but parameters, such as its reproduction number, Rt, can be estimated ...