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Lexical Complexity Using Semantics Research Paper

Discover a fast, flexible, and intuitive algorithm for assessing the lexical complexity of a text.

Introduction to SQL Joins

Your one-stop-shop introduction to SQL Joins. Learn how to connect critical related data by querying data across multiple tables.

Python Crash Course Review

Whether you're an absolute beginner to programming, looking for a quick way to learn the basics of the Python language, or an intermediate Pythonista looking to explore additional applications of Python programming using special libraries and frameworks, this book is perfect for you.

Standard Deviation with Mean Example

A beginner's guide to finding the population Standard Deviation and Variance using the mean with a simple example.

How to Use Python's Enumerate Function

All you need to know to take your Python skills to the next level with the powerful enumerate function. See examples and peek under the hood to see what is actually happening when you call enumerate().

Python Convert List to String

How to convert Python lists into strings. Read everything you need to know about using the str.join() method to convert lists to strings!

Add, Rename, and Delete Columns in Pandas

The ultimate beginner's guide to adding, renaming, and deleting columns in the popular Python library, Pandas!

Python's @property Decorator

Read about Python decorators while exploring Pythonic methods for creating getters and setters using the @property decorator.

Box Plots Explained

Learn how to visualize data distributions effectively! This post takes a gentle dive into boxplots and quartiles.

Counting Permutations

How many unique ways can you arrange a set of items? Find out how to easily calculate this figure as we study the math behind Permutations.

Overfitting and Underfitting Models

Learn what it means to have an overfit and underfit model and how to find the "sweet spot" between the two.

Persistence: the Key to Your Potential

Learn more about the single skill that makes or breaks every developer.

Method Stacking: Kanban + Pomodoro

Discover the power of combining the Pomodoro Technique with a Kanban Board!

Eating an Elephant

Learn how to break enormous goals down into manageable bite-sized bits!

SMART Goals and Accountability

Learn the value of setting SMART goals and taking advantage of an accountability group.

Histograms in Python

Learn how to generate your own Histograms using Python's powerful visualization library, Matplotlib!

The First Puzzle Piece: Why I Started Programming

Get to know a little more about me and what first attracted me to programming.

Three Essential Steps for Aspiring Programmers

Consider these three things if you're trying to land that dream developer job.

Confusion Matrices and Type Errors

Learn about the different machine learning model type errors and how to quickly visualize them in a simple to understand matrix.

A Lesson from Newton

Do you often experience a lack of motivation? Read this post to discover possible reasons why and what you can do to begin increasing your motivation.

The Data Mining Process (CRISP-DM)

Learn how to structure your data science project from start to finish using the Cross-Industry Standard Process for Data Mining (CRISP-DM).

Dependent and Independent Events

In the study of Probability, there are hardly two concepts more fundamental than Event Independence and Event Dependence. In spite of this, these concepts are often greatly misunderstood.

Histograms

Histograms make visualizing important aspects of our data simple. Discover how to read and interpret the insight they provide!

My 5 Beginner Programming Projects

Read brief descriptions of 5 projects I undertook when first learning how to code.

The Trial and Error Loop

Learn to try new things and view mistakes as a positive step in the learning process.

Predicting Tweet Author with Naive Bayes

In this project, we'll use the Twitter API and Naive Bayes to predict whether a newly presented Tweet was authored by Barack Obama or Donald Trump.

Intro to Cross-Validation: Holdout and k-Fold

Learn why you should be using Cross-Validation and how to incorporate it into your next project using either the Holdout or k-Fold method!

The Pomodoro Technique

Learn how to use the Pomodoro Technique to cut through procrastination!

Handling NaN in Pandas

Almost all data projects involve missing or unknown values. Learn all you need to know about handling these values (NaN) in Pandas.

Breaking Down Bayes' Theorem

Bayes' Theorem is the foundation of Bayesian Statistics commonly used in Data Science and Machine Learning! Read more about how it works here!

The Kanban Board

Learn how to organize yourself and your projects using Kanban Boards!

Evaluation Metrics: Accuracy, Precision, Recall, and F1 Score

Learn how to increase and understand model performance with Accuracy, Precision, Recall, and F1 Score!

Setting up a Twitter Developer Account

A step-by-step guide on how to apply for a Twitter developer account. A developer account grants access to Twitter's powerful API.

Python List Comprehensions Made Simple

A gentle introduction to list comprehensions. Understanding list comprehensions is an important stepping stone for anyone hoping to break into an intermediate understanding of Python.

Applied Data Science with Python UM Specialization

Considering a MOOC to take your data science skills to the next level? Here's my experience completing the University of Michigan's Applied Data Science with Python Specialization through Coursera.

Walk-Through: Number Guessing Game in Python

Learn how to make a simple Number Guessing Game in Python using functions, while loops, and if statements. This is a great project for beginners!