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 this tutorial, we want to read an Excel file into a Pandas DataFrame. In order to do this, we use the read_excel() function of Pandas. Import Libraries First, we import the following python modules: import pandas as pd Excel File We consider the sheet "Frameworks"...
Introduction In this tutorial, we want to write a Pandas DataFrame to a CSV file. In order to do this, we use the to_csv() 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...
Introduction In this tutorial, we want to read a CSV file into a Pandas DataFrame. In order to do this, we use the read_csv() function of Pandas. Import Libraries First, we import the following python modules: import pandas as pd CSV File We consider the CSV file "frameworks....
Introduction In this tutorial we will cover the very first and the simplest mathematical neuron model in history - the McCulloch-Pitts Neuron. We look at the architecture and functionality. History The McCulloch-Pitts-Neuron is the simplest form of a neuron model and was published in 1943 by Warren McCulloch and Walter...
Introduction In this tutorial, we want to one-hot encode a NumPy array that contains categorical values. In order to do this, we use the to_categorical() function of Keras. Import Libraries First, we import the following python modules: import numpy as np from keras.utils import to_categorical Define Data...
Introduction In this tutorial, we want to show different ways how to create an array. In order to create an array, we use the functions array(), zeros(), arange() and linespace() of NumPy. Import Libraries First, we import the following python module: import numpy as np Array function NumPy offers different...
Introduction In this tutorial, we want to join NumPy arrays along different axes. In order to do this, we use the functions hstack(), vstack() and dstack() of NumPy. Import Libraries First, we import the following python module: import numpy as np Define Data Let's consider two arrays a...
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...