Authors: Thom Ives, Manpreet Budhraja, Abdul Najeeb Overview This may be the most needed post we ever publish in our mentoring category. We’ve read many strong comments regarding landing data science roles. We feel your pain. It’s a tough ordeal to go through on both sides: interviewers and candidates. Candidates Read more…
Thom’s most powerful disciplines and lessons … learned the hard way almost too late in life Editors: Manpreet Budhraja and Danny Ma Triage Time with Ta Ta instant messaged me on Monday at 5:15 PM, “Thom, can you talk on the phone?” That was unusual. Ta Read more…
A MUST HAVE For Your Data ScienceCareer Navigation My Amazon Book Review of Building Analytics Teams Introduction I’d like to make a strong point in this review of John Thompson’s book, Building Analytics Teams. The best way I know to do that is with a story. This story isn’t exactly Read more…
Most important initial advice for your Data Science Career development
Pythonic methods, both object oriented a functional to automate the collection of synonyms from Thesaurus.com
How to do gradient descent in python without numpy or scipy
In this post, we create a clustering algorithm class that uses the same principles as scipy, or sklearn, but without using sklearn or numpy or scipy.
Applying Polynomial Features to Least Squares Regression using Pure Python without Numpy or Scipy
A polynomial features class that mimics sklearn’s class, but does NOT use numpy or scipy built for learning and to gain insights
Creating a clean class structure for least squares in pure python without the use of numpy, scipy, or sklearn to help gain deeper insights into machine learning methodologies.