✚ How to Make a Heatmap with Irregular Bins in R
There are existing functions and packages to make heatmaps in R, but when the data is irregular, it's worth going custom.Tags: R
Tag: Tutorial
Getting Started with Google Colab for Deep Learning: A Step-by-Step Guide
Google Colaboratory, commonly known as Google Colab, is a cloud-based Jupyter notebook environment that provides a platform for writing and executing Python code through your browser. It's especially popular in the data science and machine learning communities. In this tutorial, we’ll explore how to get started with Google Colab for …
✚ How to Make Unit-Based, Variable Width Bar Charts
In a cross between unit charts and variable width bar charts, we can show total counts and relative proportions at the same time.Tags: R
Building a dataset of Python versions with regular expressions
Learn how to use pandas, requests, and regular expressions ("regex") to create a dataset of every Python version and its release date!
Working with Time Zones & Daylight Saving Time in pandas 🕑
Are you working with datetime data in pandas? Learn how to become "timezone-aware" so that your dataset cooperates with Daylight Saving Time!
Working with Time Zones & Daylight Saving Time in pandas 🕑
Are you working with datetime data in pandas? Learn how to become "timezone-aware" so that your dataset cooperates with Daylight Saving Time!
Tutorial: Introduction to Keras
What Is Keras? What Is It for? Keras is a high-level, user-friendly API used for building and training neural networks. It is an open-source library built in Python that runs on top of TensorFlow. It was developed to enable fast experimentation and iteration, and it lowers the barrier to entry …
Tutorial: Introduction to Deep Learning
This tutorial provides an introduction to deep learning algorithms and their applications in various fields. We will cover the fundamentals of deep learning, including its underlying workings, neural network architectures, and popular frameworks used for implementation. Additionally, we will discuss some of the most common types of deep learning models …
✚ How to Make a Smoother Animated Growth Map in R
Show change over time and geography with smooth transitions.Tags: animation, R
A Simple Guide to Linear Regression for Machine Learning (2023)
In this tutorial, we’ll learn about linear regression and how to implement it in Python. First, we’ll explore a sample machine learning problem, and then we’ll develop a model to make predictions. (This tutorial assumes some familiarity with Python syntax and data cleaning.) The Problem The dataset that we’ll be …
Tutorial: Linear Functions in Machine Learning
In this tutorial, we’ll learn about linear regression and how to implement it in Python. First, we’ll explore a sample machine learning problem, and then we’ll develop a model to make predictions. (This tutorial assumes some familiarity with Python syntax and data cleaning.) The Problem The dataset that we’ll be …
Fly through Jupyter with keyboard shortcuts 🚀
Learn the 25 most useful keyboard shortcuts for Jupyter Notebook or Lab (including hidden gems 💎) so that you can speed up your workflow!
Tutorial: Creating Microsoft Azure Function Apps
Cloud practitioners and developers often seek out platforms that will enable them deploy scalable applications without having to spend time managing infrastructure. Additionally, if they are already working on other Azure platforms, they want a service that integrates well with the other services. This is where Azure Function apps is …
How to Easily Create Azure Function Apps (2023 Tutorial)
Cloud practitioners and developers often seek out platforms that will enable them deploy scalable applications without having to spend time managing infrastructure. Additionally, if they are already working on other Azure platforms, they want a service that integrates well with the other services. This is where Azure Function apps is …
K-Means Clustering Explained in 2023 (with 12 Code Examples)
Clustering is one of the most common tasks in unsupervised machine learning. We use clustering algorithms to segment a dataset into groups based on the patterns in the data. For instance, let’s say we have data about thousands of our company’s customers. We could use a clustering algorithm to split …
Tutorial: Clustering in Machine Learning
Clustering is one of the most common tasks in unsupervised machine learning. We use clustering algorithms to segment a dataset into groups based on the patterns in the data. For instance, let’s say we have data about thousands of our company’s customers. We could use a clustering algorithm to split …
✚ How to Animate Packed Circles in R
Pack circles, figure out the transitions between time segments, and then generate frames to string together.Tags: animation, R
Introduction to Unsupervised Machine Learning
When starting out in machine learning, it’s common to spend some time working to predict values. These values might be whether or not a credit card transaction is fraudulent, how much a customer earns based on their behavior patterns, etc. In scenarios like these, we’re working with supervised machine learning. …
