Job Industry SEO
Job search in Google’s job search engine (also known as Google for Jobs) isn’t exactly the same as their regular search engine. In fact,...
Create and Run a Python Script Using Terminal (Command Line)
Integrated Development Environment’s like VSCode are super useful because they take care of most of the difficulties around programming. But, what if you want...
Teleport API with Python (How to Get Geographical Data)
The teleport API allows to gather data about a geographical areas for free. Teleport allows you to gather data from cities such as: In...
Github Pull Requests: Fork and Merge a Repository (step-by-step)
In this tutorial, we will learn how to create a simple pull request on Github. For this to be clearer, I have my friend’s...
Setting Up Git For the First Time (git config)
If you have never used Git before, you likely need to set it up. In this tutorial, we will learn things that you can...
Create an Delete a Branch on Github Repository
On Github, you can easily create or delete branches from a Github Repository. What Are Branches? Branches are virtual environments that you can make...
Predictive-based Clustering with representative redirect targets
How does Google handle duplicate content on the Web? One of the many ways is that they compare URL patterns to predict which ones...
3 Ways to Install Python on MacOS (with VIDEO)
In this tutorial, I will demonstrate how to install python3 on MacOS. MacOS comes with Python 2 preinstalled, but you will want to install...
How to Install Python on Windows 10 (with VIDEO)
In this tutorial, I will demonstrate how to install Python on Windows 10. Make sure that you follow each step without skipping ahead. Installing...
De-Duplication at Google: Using the aged of Portions in a Document
How does Google know if two documents are duplicate when portions of the document change at a high rate? The patent titled “Updating search...
What is Hashing (and how it works). Checksums, hash functions and more!
Hashing is the process of transforming a key or a string of characters into another value. The conversion is done using a hashing algorithm...
The 6 BEST Github Repository to learn Data Science (for FREE)
There are a lot of free Github repositories out there to learn Machine Learning and Data Science. Here are the BEST 6 Free repositories...
What is an Application Programming Interface (How to use APIs) – Tutorial with Examples
An API, or Application Programming Interface, is a way of communication between various software components. It is a method in which applications give access to their...
How Google Knows if a Document is Fresh? (Determining Document Freshness)
How does Google know if a document if fresh? Better yet, from that knowledge, does Google Search use document freshness in ranking? This article...
How to Use Google Colab for Python (With Examples)
Google Colab is a free Jupyter notebook that allows to run Python in the browser without the need for complex configuration. It comes with...
What is a “Document” for Google?
In this post, I will explain what a document is when referred to by Google. What is a Document? According to various patents, a...
Create Your First Github Project in VSCode
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 Script Automation Using Task Scheduler (Windows)
Automate SEO Tasks using Python and Windows task scheduler
Query Categorization Based on Image Results
Query categorization can be used by Google to improve image search results by comparing image annotations to query categories. In this post, I will...
Regex For SEO: How to use Regular Expressions (with Examples)
In this guide, I will show you how to use Regex for SEO, even if you have no programming knowledge.
How to Push Code to Github (From Git Bash and VSCode)
Here is how you can upload a file or a folder to your Github repository using Git Bash and VSCode. To push code to...
Python Script Automation Using CRON on Mac
The simplest way to do automation with Python is by using crontab (cron) on Mac or Task Scheduler on Windows. In this guide, you...
Ranking Search Results, Google patent by Navneet Panda
In this article, I will cover some of what I have learned reading the “Ranking Search Results” Google patent by Navneet Panda and Vladimir...
Image Retrieval: Information Retrieval in (Google) Image Search Engine
Google’s “Image retrieval” patent is about how the Google Image Search Engine manages duplicate images and how the collections of duplicate images are ranked...
How Google Uses Anchors in Ranking Search Results
User behaviour impacts rankings. What if your web page ranks 9th for a query? Your page may not get much user behaviour data to...
Image SEO: How the Google Image Search Engine Works
In this post, we will learn in great details how the Google’s Image Search Engine works and the engineering behind it. In this article...
How Google Displays Images Within Web Search Results?
Have you ever wondered how Google decides whether or not they should, or even where to show images in web search results? In this...
How Google Selects the Most Representative Image of a Set
In this post, I will cover some of what I have learned reading the Google patent titled “Selection of an Image or Images Most...
Clustering Queries for Image Search at Google
In this post, I will cover some of what I have learned reading the Google patent titled “Clustering Queries for Image Search” by Yushi...
Improve PageSpeed on my WordPress Site
Improving PageSpeed on your WordPress website can be a challenging endeavour, but it is possible. In this post, I will show you each step...
Search Results Annotations at Google
Google search results go way beyond the regular 10 blue links. Ever wondered how the enrichments (or snippets) are displayed in search engine results?...
Clone a Github Repository on Your Computer (with Example)
You have created a repository on Github and want to create a local copy on your computer?We will use the clone command in git...
TF-IDF on Google Search Console Data
In this tutorial, we will combine the queries extracted from Google Search Console data into TF-IDF word vectors. This tutorial is Part-2 of a...
k-Nearest Neighbors (KNN) in Python
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...
Install MySQL and PHPMyAdmin With XAMPP
This guide will show you how to install MySQL and PHPMyAdmin With XAMPP. What is Xampp? Xampp is a useful Apache distribution installer that...
Machine Learning (ML) – Complete Guide
This introduction to machine learning tutorial will give you the theory and the tools to help you learn what is machine learning, What is...
What is Boosting in Machine Learning (with Examples)
Boosting is an ensemble learning method used in supervised learning that converts weak learners into strong learners by having each predictor fix the errors...
Hierarchical Clustering in Python, SciPy (with 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...
Learn Ensemble Learning Algorithms (Machine Learning)
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 Examples (Python)
Decision trees are predictive machine learning models that use simple binary rules to predict the value of a target variable. What is a Decision...
PCA: Principal Component Analysis using Python (Scikit-learn)
In this tutorial, you will learn about the PCA machine learning algorithm using Python and Scikit-learn. PCA Examples From This Tutorial What is Principal...
Clustering and De-duplication of web pages using KMeans and TF-IDF
In this project, we will learn how to use Python to cluster URLs from Google Search Console by analysing the queries that each page...
What is KMeans Clustering Algorithm (with Example) – Python
Kmeans clustering is a machine learning algorithm often used in unsupervised learning for clustering problems. It is a method that calculates the Euclidean distance...
What is Clustering in Machine Learning (With 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 Dimension Reduction in Machine Learning (and how it Works)
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...
Classification Machine Learning Project in Scikit-Learn
In this article, we will use Python to learn Scikit-learn through a typical machine learning classification problem. We will: Load the dataset Explore the...
What is Logistic Regression in Machine Learning?
Logistic regression is a machine learning algorithm used in supervised learning used for classification problems trying to predict the label of data points. In...
How to use Classification Report in Scikit-learn (Python)
The classification report is often used in machine learning to compute the accuracy of a classification model based on the values from the confusion...
How to use Confusion Matrix in Scikit-Learn (with Python Example)
The confusion matrix is often used in machine learning to compute the accuracy of a classification algorithm. It can be used in binary classifications...
Regression in Machine Learning
Regression in machine learning is a supervised learning approach in which computer programs try to make predictions on continuous variables. Simply put, the goal...
Classification In Machine Learning
Classification in machine learning is a supervised learning approach in which computer programs try to classify categorical data by observing and learning from observations...
Gentle Introduction to Unsupervised Learning in Machine Learning
Unsupervised learning is one of the techniques used in machine learning to train models by finding patterns in unlabelled data. To learn, computers need...
Supervised Learning in Machine Learning (Introduction)
Supervised learning defines an algorithm used in machine learning to train models based on labelled data. To learn, computers need to be trained. There...
Scikit-learn: Install, Import and Run Sklearn for Machine Learning (Python) – Tutorial
Scikit-learn, or sklearn, is a machine learning library widely used in the data science community for supervised learning and unsupervised learning. What is Scikit-learn?...
Preprocessing Data With SCIKIT-LEARN (Python tutorial)
Data preprocessing is an important step in the machine learning workflow. The quality of the data makes the difference between a good model and...
Understand Linear Regression with Python
Linear regression in machine learning is a supervised learning approach in which computer programs try to make predictions on continuous variables. Simply put, the...
Install Git and Github in VSCode
The first step to being able to use Github with VSCode is to set-up Git on your computer and enable in it VSCode. This...
Ranking Rich Results for SEO (With Structured Data Examples)
We are far from the 10 blue links. Rich results are dominating the search engine result pages (SERPs). There are 4 main ways SEOs...
TF-IDF: Term frequency-inverse document frequency
TF-IDF, or term frequency-inverse document frequency, is a statistical measure that evaluates how relevant is a word in a document relative to a corpus...
Python for SEO: Complete Guide (in 8 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.
