Introduction In this tutorial, we want to import Data from a CSV file into Power BI. This can be easily done in the Power BI Desktop interface. Data Source Our data source is the CSV file student. The file contains the following data: Power BI Desktop In the following, we...
Introduction Data Scientists, Data Engineer and Data Analyst are some of the most familiar roles in the data world. In this tutorial, we want to take a closer look at each role . We look at their required skills and the technologies being used. Data Scientist...
Introduction In this tutorial, we want to explain how Generative Adversarial Neural Networks (GANs) work. In order to do this, we take a look at the functionality and the idea behind GANs. Principle Generative Adversarial Neural Networks (GANs) are a special type of Artificial Neural Networks. This kind of model...
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,...
