Impact of Swearwords on SEO and Social Media Reach (Case Study)
Blacklisted swearwords in your article will block you from being indexed in Google. It will also prevent you from reaching users on Linkedin. I wrote
Blacklisted swearwords in your article will block you from being indexed in Google. It will also prevent you from reaching users on Linkedin. I wrote
While Google is busy dealing with unplanned obsolescence, SEOs are forced to retire and move to the next lesser profitable content creation industry: COMEDY. It
LinkedIn has a ton of data to offer. However, to have this data, you must either extract it manually or scrape it. Doing manually is
Welcome to this complete guide on using the LinkedIn API with Python. In this guide, you will learn how to get your credentials, authenticate the
This is the best place to learn how to set up Google Analytics Reporting API with Python.
In early 2024, Github will require its users to configure two-factor authentication (2FA) on its platform. Depending on your account, the due date may vary.
If you have set up Github with two-factor authentication (2FA), you may want to connect Visual Studio Code (VS Code). To configure VS Code to
We will look how to get your credentials and to use the API. We will cover everything, from making a simple request, to using the two most popular wrappers: PRAW and Pushshift. From extracting data to posting to a Subreddit.
The Google Search Console API is a free tool offered by Google to help SEOs and webmasters query and backup all their search analytics data.
Google Search Console just started to support regular expressions (RegEx) in filters. Let’s learn how to leverage RegEx to analyse GSC data. This article is
The most interesting document from the DOJ trial for SEO professionals is the Testimonial of Pandu Nayak and the rebuttal of Professor Douglas W. Oard,
Welcome to this simple tutorial on how to use Playwright and Node.js for web scraping. In this tutorial, we are going to focus on how
A headless browser is a web browser without a graphical user interface (GUI). Simply put, it is an invisible browser that runs in the background
The main difference between artificial intelligence (AI), machine learning and deep learning is one of hierarchy. Deep learning is a subset of Machine Learning, which
The curse of dimensionality refers the the various challenges of making meaningful machine learning generalizations from data containing large number of dimensions. What is the
In Principal Component Analysis (PCA), loadings represent the contribution of each original variable to the principal component. PCA loadings are used to understand patterns and
In this tutorial, you will learn how to identify the importance of the original features in the reduced dataset. If we had 5 features and
WGET is a free tool to crawl websites and download files via the command line. In this wget tutorial, we will learn how to install
In this tutorial we will learn how to install the wget command on Windows, with a video example. Download and Install Wget on Windows Here
In this tutorial we will learn how to install the wget command on Mac OS, with a video example. How to Install Wget on MacOS
In this tutorial, we will learn how to install Wget on MacOS, Windows and Linux. How to Install Wget on Linux To install Wget on
As part of the series of tutorials on PCA with Python and Scikit-learn, we will learn various data visualization techniques that can be used with
This post will show you how to create a repository on Github.
Visual Studio Code (VSCode) is a code editor that helps you to develop, run and debug code with built-in syntax highlighting, code completion and commit
In order to learn Python for SEO, you need to understand why you should learn Python in the first place. Then, you need to cover the basics.
The PCA machine algorithm works by identifying the intrinsic dimension of a dataset, while retaining as much variation as possible. In other words, it identifies
There are 11 main methods that can be used when working with a principal component analysis object in Python. Here is a table listing all
Principal Component Analysis is a technique that simplifies complex data by finding and keeping only the most important patterns or features. What is Principal Component
In this series on learning SEO with Google patents, I will cover some of what I have learned reading the Google patent titled “Multi-stage query
In this tutorial, you will learn everything about the document processing system used in information retrieval (e.g. Google Search Engine). I will explain what the
In this series on learning SEO with Google patents, I will explain what the Encoding and Decoding systems are, how they works, and how Google
In this tutorial, you will learn everything about the Lexicon Generator used in information retrieval (e.g. Google Search Engine). I will explain what the Lexicon
In this tutorial, we will learn what regular expressions are and how to use them to process text. What are Regular Expressions (RegEx) Regular expressions,
This article will showcase examples of the application of machine learning in the real world. While the topic of machine learning may seem inaccessible to
The .gitignore file is useful to specify what you want, and what you don’t want to be committed to Github.
The escape hatch is the “search instead” link offered in the “showing results for…” module to allow users in Google to show search results for
Beginner to expert guide to learn Python for SEO. In this tutorial, you’ll learn Python from the absolute basics to its advanced SEO purposes.
In this tutorial, you will discover many SEO insights that can be understood from reading Google Patents. This series is in honour of the great
In this tutorial, we will learn what pip is and how to install, update, upgrade and uninstall Python packages using pip. The following tutorial shows
If you use the pip package manager to install and manage your Python libraries, you can use the requirements.txt configuration file to specify all the
In this tutorial, you will learn how to list every Python packages installed in your environment, whether you are using pip, conda or pipenv package management
In this Python SEO tutorial, we will learn how to group keywords into topic clusters using Python and the Scikit-learn library. The Python script will
Kmeans clustering is a machine learning algorithm often used in unsupervised learning for clustering problems. It is a method that calculates the Euclidean distance to
Hierarchical clustering is a machine learning algorithm often used in unsupervised learning for clustering problems. In this tutorial, we will learn how the hierarchical clustering
Clustering in machine learning is an unsupervised learning set of algorithms that divide objects into similar clusters based on similar characteristics. What is Clustering in
Logistic regression is a machine learning algorithm used in supervised learning used for classification problems trying to predict the label of data points. In logistic
Ensemble learning is a supervised learning technique used in machine learning to improve overall performance by combining the predictions from multiple models. Each model can
Decision trees are predictive machine learning models that use simple binary rules to predict the value of a target variable. What is a Decision Tree?
Linear regression in machine learning is a supervised learning approach in which computer programs try to make predictions on continuous variables. Simply put, the goal
k-Nearest Neighbors is a machine learning algorithm used in supervised learning to predict the label of data points by looking what is the majority in
Dimensionality reduction, or dimension reduction, is a machine learning data transformation technique used in unsupervised learning to bring data from a high-dimensional space into a
The classification report is often used in machine learning to compute the accuracy of a classification model based on the values from the confusion matrix.
Classification in machine learning is a supervised learning approach in which computer programs try to classify categorical data by observing and learning from observations (labelled
In this article, we will use Python to learn Scikit-learn through a typical machine learning classification problem. We will: Load the Titanic dataset with Scikit-learn
The confusion matrix is often used in machine learning to compute the accuracy of a classification algorithm. It can be used in binary classifications as
In this tutorial, you will learn about the PCA machine learning algorithm using Python and Scikit-learn. What is Principal Component Analysis (PCA)? PCA, or Principal
Unsupervised learning is one of the techniques used in machine learning to train models by finding patterns in unlabelled data. To learn, computers need to
As part of the series of tutorials on PCA with Python, we will learn how to plot a scree plot on the Iris dataset. The
As part of the series of tutorials on PCA with Python, we will learn how to plot a feature explained variance plot on the Iris
As part of the series of tutorials on PCA with Python, we will learn how to plot a 2D PCA graph (scatter plot) on the