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…

A Step-by-Step Guide to Discover and Harness the Power of Vector Databases — Table of Contents Intro What is so special about Vector Databases? How do we map the meaning of a sentence to a numerical representation? How does that help our LLM app? Why can’t we just give the LLM all the data we have? Hands-On Tutorial — Text to Embeddings and Distance Metrics 1…

A Step-by-Step Tutorial to Document Loaders, Embeddings, Vector Stores and Prompt Templates — Table of Contents If you are just looking for a short tutorial that explains how to build a simple LLM application, you can skip to section “6. Creating a Vector store”, there you have all the code snippets you need to build up a minimalistic LLM app with vector store, prompt template and…

A Complete Guide to Decision Trees with a Step-by-Step Implementation from Scratch and Hands-On Example Using Scikit-Learn — Table of Content Introduction Decision trees for regression: the theory behind them From theory to practice — Decision Trees from scratch Hands-On Example — Implementation from scratch vs. Scikit-learn DecisionTree Summary References Appendix / Code 1. Introduction Decision Trees have been around since the 1960s. Despite being one of the simplest Machine Learning algorithms, they…

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…

Using the Google Photos REST API you can download, upload and modify images stored in Google Photos. Just as a quick refresher, REST is an architectural style for application programming interfaces that allows interaction with RESTful web services. [Red20] A GET request allows retrieving database entries, POST requests to create…

A Guide and Template on How to Send your Python Data Analysis in HTML Mails — Python offers an incredibly large number of visualization options to prepare your data and present it in an understandable way. If you then want to distribute your analyses to a larger audience, you usually have the option to integrate the plots into a web application. …