Skip to content Using NumPy to Analyze My Daily Habits (Sleep, Screen Time & Mood)
a small NumPy project series where I try to actually build something with NumPy instead of just going through random ...
Read more The Power of Framework Dimensions: What Data Scientists Should Know
A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists ...
Read more Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply
discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore another ...
Read more The Kolmogorov–Smirnov Statistic, Explained: Measuring Model Power in Credit Risk Modeling
days, people are taking more loans than ever. For anyone who wants to build their own house, home loans are ...
Read more How to Become a Machine Learning Engineer (Step-by-Step)
machine learning engineers are currently the highest-paid tech professionals in the UK? According to Levels.fyi, the average salary is almost ...
Read more Is Your Training Data Representative? A Guide to Checking with PSI in Python
To get the most out of this tutorial, you should have a solid understanding of how to compare two distributions. ...
Read more Mastering NLP with spaCy – Part 2
in a sentence provide a lot of information, such as what they mean in the real world, how they connect ...
Read more The Hidden Trap of Fixed and Random Effects
What Are Random Effects and Fixed Effects? When designing a study, we often aim to isolate independent variables from those ...
Read more Prescriptive Modeling Makes Causal Bets – Whether You Know it or Not!
modeling is the pinnacle of analytics value. It doesn’t focus on what happened, or even what will happen – it ...
Read more Exploring the Proportional Odds Model for Ordinal Logistic Regression
You can find the full code for this example at the bottom of this post. odds model for ordinal logistic ...
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