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Creating a Word Cloud With Python

Data visualization

In Data Visualization,word cloudsare used to display textual data in a specific shape. The more frequent a word is in a chunk of text, the larger it will appear in the word cloud. This can provide interesting insights in...

Data Visualizations for Messy Data

Data visualization

Data visualization tutorials generally use pre-processed data. But what about datasets in the wild? What do we do about missing data? Or outliers that largely skew visualizations? What do we do when there are too many ob...

EDA Prior To Fitting a Regression Model

Data visualization

Before fitting any model, it is often important to conduct an exploratory data analysis (EDA) in order to check assumptions, inspect the data for anomalies (such as missing, duplicated, or mis-coded data), and inform fea...

Exploratory Data Analysis with Data Visualization

Data visualization

Data visualization is an important component of Exploratory Data Analysis (EDA) because it allows a data analyst to “look at” their data and get to know the variables and relationships between them. In order to choose an...

Filter Methods

Data visualization

Filter methodsare a type of feature selection method that works by selecting features based on some criteria prior to building the model. Because they don’t involve actually testing the subsetted features using a model,...

How To Install Jupyter Notebook on Mac and Windows

Data visualization

Jupyter Notebookis an essential tool for data science that allows you to create interactive documents combining code, visualizations, and explanatory text. Installing Jupyter Notebook through conda provides the most reli...

Log Transformation in Linear Regression: When and How to Use It

Data visualization

When analyzing data using linear regression, we often assume a linear relationship between the independent and dependent variables. However, real-world data doesn’t always behave that way. In many cases, the dependent va...

Principal Component Analysis

Data visualization

Principal Component Analysis (PCA)is adimension reductionmethod that is frequently used in exploratory data analysis and machine learning. This means that PCA can be leveraged to reduce the number of variables (dimension...

Seaborn Styling, Part 1: Figure Style and Scale

Data visualization

When creating a data visualization, your goal is to communicate the insights found in the data. While visualizing communicates important information, styling will influence how your audience understands what you’re tryin...

Visualizing Time Series Data With Python

Data visualization

Data represented in a single point in time is known ascross-sectional data. As a Data Scientist or Analyst, sometimes you might encounter data that is collected over periods of time, known astime series data.

Writing and Debugging Code in Jupyter

Data visualization

Let’s walk through the process of working with a Jupyter Notebook.

Common Applications of Deep Learning

Data visualization

So far, we have gone from single-layerneural networksto multi-layer models with many hidden layers. We have also reviewed how these neural networks can serve as powerful tools for both classification and regression tasks...

Dangers of the Black Box

Data visualization

When talking about machine learning,deep learning, and artificial intelligence, people tend to focus on the progress and amazing feats we could potentially achieve. While it is true that these disciplines have the potent...

Data Science Applications

Data visualization

Now that we know a bit abouthow to do data science, what exactly can we do with it?

How to Select a Meaningful Visualization

Data visualization

The three steps in the data visualization process arepreparing,visualizing, andstylingdata. When faced with a blank canvas, the second step of the process, visualizing the data, can be overwhelming. To help, we’ve create...

The Machine Learning Process

Data visualization

When people think of Machine Learning, they often think of a program that is taking in data and spitting out predictions and insights. The process of performing Machine Learning often requires many more steps before and...

What Is Deep Learning?

Data visualization

Have you ever wondered what powers ChatGPT? What technology developers are using to create self-driving cars? How your phone can recognize faces? Why it seems like your photos app is better at recognizing your friends’ f...