For a recent University of San Francisco MBA class, I wanted to put my students in a challenging situation where they would be forced to make difficult data science trade...
This article comes from Coursera Blog. The Data Buzz series brings you a regular roundup of what’s trending in data science. As data-driven technologies are more and mo...
It is hardly possible in real life to develop a good machine learning model in a single pass. ML modeling is an iterative process and it is extremely important to keep tr...
Why Python? Python is a multipurpose programming language and widely used for Data Science, which is termed as the sexiest job of this century. Data Scientist mine thru t...
I was wondering how to approach this blog when I decided to toast some raisin-bread for breakfast. Shortly after I started eating it, I began coughing. I have shared ...
Instead of well-run experiments and real evidence, many supposed rules are based on opinion, aesthetic judgments, and incomplete or oversimplified studies. In this Data S...
Summary: Dealing with imbalanced datasets is an everyday problem. SMOTE, Synthetic Minority Oversampling TEchnique and its variants are techniques for solving this pr...
This article was written by Radhouane Aniba. How to pick a Data Science book : Choosing a data science book is one of the important steps to properly learn from the exp...
So here are my three principle experiences you won’t effectively discover in books. 1. Evaluation Is Key The main goal in data analysis/machine learning/data scienc...
Once dubbed as the sexiest job of the 21st century by The Harvard Business Review, data scientists take pride in having adept technical skills in providing solutions to p...