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The Data Nerd

Better Python Programming for Data Scientists, Part 1: Python Fundamentals

Python currently dominates as the most popular programming language for data scientists. Its ease of use and popular machine learning…

Jul 16, 2022

Better Python Programming for Data Scientists, Part 1: Python Fundamentals

Jul 16, 2022

Emily Strong
in
The Data Nerd

What is a support vector?

Support vector machines are supervised machine learning models that are well-suited for high-dimensional data and still perform well when…

Jul 20, 2022

What is a support vector?

Jul 20, 2022

Emily Strong
in
The Data Nerd

Better Python Programming for Data Scientists, Part 4: Introduction to Object-Oriented Programming

I will never forget the day in grad school when a friend admitted she was completely stuck on a homework assignment for our intermediate…

Jul 16, 2022

Better Python Programming for Data Scientists, Part 4: Introduction to Object-Oriented Programming

Jul 16, 2022

Emily Strong
in
The Data Nerd

Strategies for Imbalanced Classes

Many real-world problems involve imbalanced classes, but most classification algorithms don’t handle them well out of the box. Sometimes…

Jul 15, 2022

Strategies for Imbalanced Classes

Jul 15, 2022

Emily Strong
in
The Data Nerd

ML Core Concepts: Precision and Recall

At every data science job interview I have ever had, from grad school internships to senior data scientist roles, I have been asked to…

Jul 11, 2022

ML Core Concepts: Precision and Recall

Jul 11, 2022

Emily Strong
in
The Data Nerd

Better Python Programming for Data Scientists, Part 3: Data Structures

In Parts 1 and 2 of this series, we explored Python fundamentals, including the built-in data types.

Jul 8, 2022

Data structures header with graph example

Jul 8, 2022

Emily Strong
in
The Data Nerd

Homoscedasticity vs Heteroscedastcity

Homoscedasticity is constant (or homogeneous) variance in a set of random variables. You may be wondering how it’s possible for variance to…

Jul 2, 2022

Homoscedacity and Heteroscedacity plots

Jul 2, 2022

Emily Strong
in
The Data Nerd

Understanding the Bias-Variance Tradeoff

The Bias-Variance Tradeoff is a concept that is easy to skip over when first starting out in machine learning, and yet it’s one of the most…

Jun 30, 2022

Bias versus variance bullseye

Jun 30, 2022

Emily Strong
in
The Data Nerd

Better Python Programming for Data Scientists, Part 2: More Python Fundamentals

In Part 1 of this series, we started our dive into Python fundamentals by looking at the different Python implementations available and the…

Jun 28, 2022

Better Python Programming for Data Scientists, Part 2: More Python Fundamentals

Jun 28, 2022

Emily Strong
in
The Data Nerd

An Introduction to Uplift Modeling

Marketing campaigns can be expensive. You want to contact only the people who you think will be persuaded to do whatever it is your…

Jun 22, 2022

Uplift model behavior segments

Jun 22, 2022

Emily Strong

Emily Strong

Emily Strong is a senior data scientist and data science writer, and the creator of the MABWiser open-source bandit library. https://linktr.ee/thedatanerd

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