As a Data Scientist, I use statistical methods such as ML algorithms in order to identify patterns and to extract knowledge from data.
Introduction In contrast to a classic feedforward network, a Recurrent Neural Network (RNN) allows backward connections. An RNN is particularly suitable for processing time series data and is able to take into account the time dependency of data. This enables an RNN to have a kind of short-term memory. The...
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 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 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 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 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...
Introduction In this tutorial, we want to concatenate multiple Pandas DataFrames. In order to do this, we use the the concat() function of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Create Pandas DataFrames We create two Pandas DataFrames with some example data from...