Introduction to Summary Statistics for Data Science
In this guide, we will introduce summary statistics for data science, by providing Python examples to illustrate how to apply this concept. What Are...
Measures of Central Tendency in Summary Statistics (Python Examples)
In this guide, we will introduce one of the summary statistics: the measures of central tendency. We will also provide you with Python examples...
How to Find Outliers (Python Example)
Outliers can have a big impact on the measures of variability and should be understood, and dealt with accordingly, by statistician and data scientists....
Measures of Statistical Dependence “Correlation” in Summary Statistics (Python Examples)
In this guide, we will introduce one of the summary statistics: the measures of correlation (statistical dependence). We will also provide you with Python...
Measures of Variability “Spread” in Summary Statistics (Python Examples)
In this guide, we will introduce one of the summary statistics: the measures of variability. We will also provide you with Python examples to...
Measures of the Shapes of the Distributions in Summary Statistics (Python Examples)
In this guide, we will introduce one of the summary statistics: the measures of the shapes of the distributions. We will also provide you...
Create a Python Virtual Environment With Venv
To create a Python virtual environment with venv, use the following commands. This command creates a virtual environment. Note that you can also use...
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...
SEO Jokes to Get Us Through Core Updates
While Google is busy dealing with unplanned obsolescence, SEOs are forced to retire and move to the next lesser profitable content creation industry: COMEDY....
LinkedIn API with Python (Complete Guide)
Welcome to this complete guide on using the LinkedIn API with Python. In this guide, you will learn how to get your credentials, authenticate...
Ga4 API with Python (Google Analytics Data API Example)
This is the best place to learn how to set up Google Analytics Reporting API with Python.
How to Enable 2FA on your Github Account (Two-Factor Authentication)
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...
How to Connect VS Code to Github with 2FA and Personal Access Token (with Example)
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...
Reddit API with Python (Complete Guide)
We will look how to get your credentials and to use the API. We will cover everything, from making a simple request, to using...
Google Search Console API: Complete Guide (in 4 Chapters) – UPDATED 2024
The Google Search Console API is a free tool offered by Google to help SEOs and webmasters query and backup all their search analytics...
Regular Expressions (RegEx) in Google Search Console
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...
Interesting Documents for SEO from the DOJ Trial (USA v Google)
The most interesting document from the DOJ trial for SEO professionals is the Testimonial of Pandu Nayak and the rebuttal of Professor Douglas W....
What is a Headless Browser?
A headless browser is a web browser without a graphical user interface (GUI). Simply put, it is an invisible browser that runs in the...
Difference Between Artificial Intelligence (AI), Machine Learning and Deep Learning
The main difference between artificial intelligence (AI), machine learning and deep learning is one of hierarchy. Deep learning is a subset of Machine Learning,...
What is the Curse of Dimensionality in Machine Learning (with Example)
The curse of dimensionality refers the the various challenges of making meaningful machine learning generalizations from data containing large number of dimensions. What is...
What are PCA Loadings (with Python Example)
In Principal Component Analysis (PCA), loadings represent the contribution of each original variable to the principal component. PCA loadings are used to understand patterns...
PCA Feature Importance: How to Find the Important Original Features (Python Example)
In this tutorial, you will learn how to identify the importance of the original features in the reduced dataset. If we had 5 features...
Simplest Example to Install WGet Command (Mac & Windows)
WGET is a free tool to crawl websites and download files via the command line. In this wget tutorial, we will learn how to...
Is There a Windows Version of Wget? (Video)
Yes, there is a Windows version of Wget. You can install the wget command on Windows following this quick video example. Download and Install...
Is There a Mac Version of Linux Wget? (Video)
Yes, there is a Mac version of Wget. In this tutorial, you will learn how to install the wget command on Mac OS, with...
3 Different Ways I have Installed Wget (MacOS, Windows and Linux)
In this tutorial, we will learn how to install Wget on MacOS, Windows and Linux. How to Install Wget on Linux To install Wget...
The 6 Best PCA Plots & Visualizations with Python (Scikit-Learn Example)
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...
How to Create a Github Repository from VS Code (Example)
This post will show you how to create a repository on Github.
How to Clone a Github Repository with VS Code (Example)
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...
Python Operators (with Examples)
In order to learn Python for SEO, you need to understand why you should learn Python in the first place. Then, you need to...
How PCA Machine Learning Algorithm Works in Python?
The PCA machine algorithm works by identifying the intrinsic dimension of a dataset, while retaining as much variation as possible. In other words, it...
Principal Component Analysis (PCA) Methods in Scikit-Learn with Python
There are 11 main methods that can be used when working with a principal component analysis object in Python. Here is a table listing...
What is Principal Component Analysis (PCA)?
Principal Component Analysis is a technique that simplifies complex data by finding and keeping only the most important patterns or features. What is Principal...
Multi-Stage Query Processing in Google Search (Patents SEO)
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...
What is Google’s Document Processing System (and How it Works)
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...
Google’s Encoding and Decoding Systems (What they are and How they Work)
In this series on learning SEO with Google patents, I will explain what the Encoding and Decoding systems are, how they works, and how...
What is Google’s Lexicon Generator (and How it Works)
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...
What are Regular Expressions (How to use RegEx) with Examples
In this tutorial, we will learn what regular expressions are and how to use them to process text. What are Regular Expressions (RegEx) Regular...
THE 7 BEST Machine Learning Examples (Real-World)
This article will showcase examples of the application of machine learning in the real world. While the topic of machine learning may seem inaccessible...
How to Create a Gitignore File in VS Code (with Example)
The .gitignore file is useful to specify what you want, and what you don't want to be committed to Github.
What is the Escape Hatch in Google Search (Showing results for… search instead…)
The escape hatch is the “search instead” link offered in the “showing results for…” module to allow users in Google to show search results...
Python for SEO: Complete Guide (in 9 Chapters)
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.
THE 10 BEST Google Patents (For SEO)
In this tutorial, you will discover many SEO insights that can be understood from reading Google Patents. This series is in honour of the...
How to use pip in Python (Install, Update, Uninstall Packages) with Example
In this tutorial, we will learn what pip is and how to install, update, upgrade and uninstall Python packages using pip. The following tutorial...
Pip install requirements.txt with Python (How to Install Packages) Example
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...
How to List Installed Python Packages (with/without Pip)
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...
How to do Keyword Topic Clustering with Python SEO (Sklearn TF-IDF + AffinityPropagation) Example
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...
What is KMeans Clustering Algorithm (with Python Example) – Scikit-Learn
Kmeans clustering is a machine learning algorithm often used in unsupervised learning for clustering problems. It is a method that calculates the Euclidean distance...
Hierarchical Clustering in Python (SciPy Example)
Hierarchical clustering is a machine learning algorithm often used in unsupervised learning for clustering problems. In this tutorial, we will learn how the hierarchical...
What is Clustering in Machine Learning (Python Examples)
Clustering in machine learning is an unsupervised learning set of algorithms that divide objects into similar clusters based on similar characteristics. What is Clustering...
What is Logistic Regression in Machine Learning (with Python Example)
Logistic regression is a machine learning algorithm used in supervised learning used for classification problems trying to predict the label of data points. In...
Learn Ensemble Learning Algorithms in Machine Learning (with Python Examples)
Ensemble learning is a supervised learning technique used in machine learning to improve overall performance by combining the predictions from multiple models. Each model...
Decision Trees in Machine Learning (with Python Examples)
Decision trees are predictive machine learning models that use simple binary rules to predict the value of a target variable. What is a Decision...
Linear Regression in Machine Learning (with Python Examples)
Linear regression in machine learning is a supervised learning approach in which computer programs try to make predictions on continuous variables. Simply put, the...
How to use k-Nearest Neighbors (KNN) with Python (Scikit-Learn example)
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...
What is Dimension Reduction in Machine Learning (with Python Example)
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...
When Should I Use a Classification Report in Python Scikit-Learn)?
The classification report is often used in machine learning to compute the accuracy of a classification model based on the values from the confusion...
Classification In Machine Learning (with Python Example)
Classification in machine learning is a supervised learning approach in which computer programs try to classify categorical data by observing and learning from observations...
Classification Machine Learning Project in Scikit-Learn (Python Example)
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...
Making Sense of the Confusion Matrix in Python (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...