PinnedSarah LeainTowards AIBeginner’s guide to predicting Time Series data with PythonThis article delves into various modeling techniques such as linear regression, (S)ARIMA, TBATS, and exponential smoothing.Feb 15Feb 15
Sarah LeaStreamlit 101 — Create a simple Data Visualization App in 20 MinutesI tested the open-source framework by creating a simple data visualization app. The slogan of Streamlit is, “A faster way to build and…2d ago2d ago
Sarah LeaBeginner’s Guide to Predicting House Prices with Random Forest: Step-by-Step Introduction with a…Since Random Forest and XGBoost have produced the best results, in this article I will show you the 8 steps to take with Random Forest.Aug 26Aug 26
Sarah LeaHow I Won First Prize with My Thesis on Energy Forecasting: 6 Essential Steps for SuccessFor my thesis, I compared and evaluated 6 different machine learning and deep learning models to predict energy consumption data. This is…Aug 19Aug 19
Sarah LeainTowards AICan you trust AI-Models Without Explainability? Introduction to XAITo get straight into the topic, I would like to present an example where a deep neural network correctly classifies an image with an…Aug 12Aug 12
Sarah LeaA simple Introduction to Multilayer Perceptron and Autoencoder for Estimating Used Car Prices with…How can we estimate the price of objects such as used cars as accurately as possible? A simple Introduction to MLP and Autoencoder.Aug 5Aug 5
Sarah LeainPython in Plain EnglishHow I started the Task to estimate Used Car Prices with Machine Learning: A Beginner’s GuideHow do you estimate the price of used cars? Read about ML-Models such as Random Forest, Support Vector Machines or XGBoost.Jul 29Jul 29
Sarah LeainPython in Plain EnglishBeginner’s Guide to Advanced Techniques for Time Series Forecasting with Deep LearningIn the evolving landscape of data science, deep learning has emerged as a powerful tool for predicting time series data. Although…Jul 22Jul 22
Sarah LeainPython in Plain EnglishHow I started with PyTorch — Essential Tips and Steps for BeginnersIf you use deep learning models, it is best to use frameworks like PyTorch or TensorFlow. To evaluate which models are best suited for…Jul 15Jul 15
Sarah LeainPython in Plain EnglishDiscovering the Best ML Model for Energy Forecasting: Which Tops the List? (Part 2)Over the last five months, I have compared 6 different machine learning models to predict energy consumption data over 48 hours. In…Jun 4Jun 4