Introduction Artificial Intelligence (AI) is developing at a rapid pace. Especially in the gaming industry, AI is now superior to humans. In this tutorial we will have a look at the games in which the AI is superior. Throughout history, there have been some groundbreaking achievements of AI. The successes...
Introduction In this tutorial, we want to encode ordinal categorical variables of a Pandas DataFrame. In order to do this, we use the replace() method of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Create Pandas DataFrame Next, we create a Pandas DataFrame with...
Introduction In this tutorial, we want to split data into train and test sets. In order to do this, we use the train_test_split() function of Scikit-Learn. Import Libraries First, we import the following python modules: import pandas as pd from sklearn.model_selection import train_test_split Load...
Introduction In this tutorial, we want to one-hot encode a categorical variable of a Pandas DataFrame. In order to do this, we use the get_dummies() function of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Create Pandas DataFrame Next, we create a Pandas...
Introduction In this tutorial, we want to explain Generative AI (GenAI). In order to do this, we describe both the terms Artificial Intelligence, Machine Learning, Deep Learning and Generative AI as well as the relationships between them. Overview First, we want to have a look to the relationships between Artificial...
Introduction In this tutorial, we want to use regular expressions (regex) to filter, replace and extract strings of a Pandas DataFrame based on specific patterns. In order to do this, we use the str.contains() method, the str.replace() method and the str.extract() method of Pandas. Import Libraries First,...
Introduction In this tutorial, we want to create an Artificial Neural Network (ANN) that is able to recognize the species of penguins based on their body measurements. We will cover the entire process from Data Collection, Data Cleansing and Feature Engineering to Model Creation and Model Training. Use Case Based...
Introduction In this tutorial, we want to create a Barplot. In order to do this, we use the bar() function of Matplotlib. Import Libraries First, we import the Pyplot submodule. The Pyplot submodule contains a collection of important functions such as the plot() function or the bar() function. In addition,...
Introduction In this tutorial, we want to count and get the unique values in a column of a Pandas DataFrame. In order to do this, we use the the nunique() method and the unique() method of Pandas. Import Libraries First, we import the following python modules: import pandas as pd...
