Jupyter notebook content for my OReilly book, the Python Data Science Handbook.
This repository contains the full…Blog Book: Python Data Science Handbook 15 Likes
Summary: True prescriptive analytics requires the use of real optimization techniques that very few applications actually use. Here’s a refresher on optimization…Blog From Optimization to Prescriptive Analytics 5 Likes
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values.
How do you deal with missing values - ignore…Blog How to Treat Missing Values in Your Data 15 Likes
Time-series data arise in many fields including finance, signal processing, speech recognition and medicine. A standard approach to time-series problems usually requires manual engineering of…Blog Time series classification with Tensorflow 9 Likes 9 Off-the-beaten-path Statistical Science Top
You will find here nine interesting topics that you won't learn in college classes. Most have interesting applications in business and elsewhere. They are not especially difficult, and I explain…Blog 9 Off-the-beaten-path Statistical Science Top 13 Likes Some Thoughts on Mid-Career Switching Into Da
Summary: If you are mid-career and thinking about switching into data science here are some things to think about in planning your journey.
We get lots of…Blog Some Thoughts on Mid-Career Switching Into Da 12 Likes
You may be thinking that this title makes no sense at all. ML, AI, ANN and Deep learning have made it into the everyday lexicon and here I am, proclaiming that ML is dead. Well, here is what I…Blog Machine Learning is dead – Long live machine 4 Likes