Category: Data Science

Author: Matt Mayo Editor If EDA is not executed correctly, it can cause us to start modeling with “unclean” data. See how to use Pandas […] 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: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Matt Mayo Editor Every Python project can benefit from automation using Makefile, optimized Docker images, well configured CI/CD, Code Quality Tools and more… Go […] Read More

Author: Eric Siegel Coursera’s Machine Learning for Everyone (free access) fulfills two different kinds of unmet learner needs, for both the technology side and the […] Read More

Author: Sanjeev Verma No matter how latest the technology is, it is often blamed responsible for the current environmental issues from internal engine combustion to […] Read More

Author: Gregory PS Editor Will You Enroll At #Google University For $49/Month? On @Kaggle some prizes are only for Americans – here are international alternatives; […] Read More

Author: Matt Mayo Editor Domino Data Lab was announced as a leader for the second year in a row in the recently released “Forrester Wave™: […] Read More

Author: Stephanie Glen Bayes’ Theorem formula. Bayes’ Theorem, which The Stanford Encyclopedia of Philosophy calls “…a simple mathematical formula” can be surprisingly difficult to actually […] Read More

Author: Matt Mayo Editor The Big Data and AI Toronto Conference and Expo returns on September 29-30, 2020 with a brand new format and will […] Read More