Category: Data Science

Author: Stephanie Glen An interesting application of Benford’s and Zipf’s Laws to fraudulent Covid-19 data was published recently on the peer-reviewed PLOS-ONE website. The study, […] Read More

Author: Kedar Supekar Web Hosting Service Industry Market The Web Hosting Service Industry Market analysis summary by BMR is a thorough study of the current trends […] Read More

Author: mtdearing Finding data and understanding its meaning represents the traditional “daily grind” of a Data Scientist. With whale, the new lightweight data discovery, documentation, […] Read More

Author: mtdearing Developing machine learning models as products that deliver business value remains a new field with uncharted paths toward success. Applying well-established software development […] Read More

Author: mtdearing As a core method in the Data Scientist’s toolbox, k-means clustering is valuable but can be limited based on the structure of the […] Read More

Author: Matt Mayo Editor Also: A Rising Library Beating Pandas in Performance; 20 Core Data Science Concepts for Beginners; How to Create Custom Real-time Plots […] Read More

Author: /u/datascience-bot Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data […] Read More

Author: ajit jaokar Introduction There are six broad questions which can be answered in data analysis according to an article called “What is the question?” […] Read More

Author: Stephanie Glen Ten-fold differences have been reported in Covid-19 death rates. Estimate issues are because of how the data is calculated. Why the same […] Read More

Author: Tirthajyoti Sarkar A famous Casino-inspired trick for data science, statistics, and all of science. How to do it in Python? Go to Source