Deep Learning Nerds Academy
The ultimate Learning Platform for AI, Data Science, Data Analytics and Data Engineering.

Pandas - Read CSV File into 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....

Deep Learning - How the McCulloch-Pitts Neuron works

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...

Seaborn - Pairplots

Introduction In this tutorial, we want to create a Pairplot. In order to do this, we use the pairplot() function of Seaborn. Import Libraries First, we import the following python modules: import seaborn as sns import matplotlib.pyplot as plt Load Data We would like to use a seaborn sample...

Keras - One-Hot Encoding

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...

PySpark - Date and Timestamp

Introduction In this tutorial, we want to add the current date and the current timestamp to a PySpark DataFrame. In order to do this, we use the current_date() function and the current_timestamp() function of PySpark. Import Libraries First, we import the following python modules: from pyspark.sql import...

AI Use Case - House Price Prediction with Neural Networks

NumPy - Create an Array

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...

NumPy - Join Arrays

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...

Supervised vs. Unsupervised Learning

Introduction Machine Learning can be divided into two main types: Supervised Learning and Unsupervised Learning. In this tutorial, we want to take a closer look to these approaches and compare them to each other. Overview Both supervised learning and unsupervised learning have their own characteristics and are suitable for solving...