Hands-on Feature Engineering with Scikit-Learn, Tensorflow, Pandas and Scipy — Table of content Introduction 1. Encoding 1.1 Label Encoding using Scikit-learn 1.2 One-Hot Encoding using Scikit-learn, Pandas and Tensorflow 2. Feature Hashing 2.1 Feature Hashing using Scikit-learn 3. Binning / Bucketizing 3.1 Bucketizing using Pandas 3.2 Bucketizing using Tensorflow 3.3 Bucketizing using Scikit-learn 4. Transformer 4.1 Log-Transformer using Numpy…

Linear and Polynomial Regression, RANSAC, Decision Tree, Random Forest, Gaussian Process and Support Vector Regression — Regression is a subset of Supervised Learning. It learns a model based on a training dataset to make predictions about unknown or future data. The description ‘supervised’ comes from the fact that the target output value is already defined and part of the training data. The difference between the subcategories…

An Introduction to Hyperparameter Tuning and two of the most popular Techniques Table of content - Introduction - Grid Search vs. Bayesian Optimization Support Vector Regression — How it works Model Performance Evaluation Finding the optimal hyperparameter settings Grid Search From Grid Search to Bayesian Optimization -Summary -References As a small remark in…

Isolation Forest, Local Outlier Factor, One-Class SVM, Autoencoders, Robust Covariance Estimator and Time Series Analysis — Anomaly or outlier detection deals with the detection of patterns in data that do not correspond to the expected behavior. The methods are used in almost all industries. Well known areas of application are the detection of credit card and insurance fraud, cybersecurity, monitoring of security-relevant systems and the assessment…

An Introduction to Boosting and AdaBoost — AdaBoost belongs to the ensemble learning methods and imitates the principle of the “Wisdom of the Crowds”: models that individually show poor performance can form a strong model when combined. A MIT study [Diz21] published in 2021 describes how crowds are able to identify fake news. Without background knowledge or…