Machine Learning

Scikit-Learn - Feature Scaling with StandardScaler and MinMaxScaler

Introduction In this tutorial, we want to scale features of a Pandas DataFrame. In order to do this, we use the StandardScaler() class and the MinMaxScaler() class of Scikit-Learn. Import Libraries First, we import the following python modules: import pandas as pd from sklearn.datasets import fetch_california_housing from...

AI Use Case - House Price Prediction with Neural Networks

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...

Machine Learning Algorithms

Introduction In this tutorial, we want to take a closer look to the most important Machine Learning algorithms and compare them to each other. Overview...

AI Use Case - Penguin Species Prediction with Neural Networks

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...