Ashok Vangamlbook.hashnode.dev·Dec 12, 2024Evaluation of Regression modelsRegression models are trained to predict numeric label values based on training data that includes both features and known labels. Split the training data (randomly) to create a dataset with which to train the model while holding back a subset of t...Discussregression models
Prasun Dandapatprasunspace.hashnode.dev·Oct 2, 2024A Beginner's Guide to Simple Linear Regression in PythonIntroduction Linear regression is one of the most fundamental and commonly used techniques in machine learning and statistics. In this guide, we'll explain the basics of simple linear regression, demonstrate how it works, and provide code examples us...Discusssimple linear regression
Mohd Athar Shoyebathar04.hashnode.dev·Aug 16, 2024Red Wine Quality Prediction: Machine Learning ModelIn the world of wine, quality is everything. From the vine to the glass, countless factors influence the final product. For both producers and consumers, understanding these factors and how they relate to wine quality is crucial. This blog post delve...Discuss·120 readsMachine Learning
rajneel chougulerajneelchougule.hashnode.dev·Jul 17, 2024How to choose the best Regression Model for your Data ?What are Regression Models? Regression models are techniques used to analyze the Independent variables also called features and Dependent variables called outcomes. These models are widely used in various fields for prediction, forecasting, and under...Discuss·11 likesMachine Learning
TJ Gokkentjgokken.com·Apr 12, 2024Optimizing Machine Learning WorkflowsThe optimization of Machine Learning Workflows begins with the segregation of data into training, validation, and testing sets. However, before we do anything with our data, we need to "clean" it up. The broader term that is used in Machine Learning ...DiscussMachine Learning FundamentalsModel Optimization
Pavel Ianonisianonis.hashnode.dev·Dec 13, 2023Regression models for market prices predictions. Part 2In the previous part of this article we discussed the basics of regression analysis, briefly reviewed data gathering and preprocessing techniques, and built a simple linear regression model. Toiday, we continue to dive deeper in the science of buildi...Discuss·163 likes·34.1K readsregression models
Pavel Ianonisianonis.hashnode.dev·Oct 1, 2023Regression models for market price predictions. Part 1In the fast-paced domain of financial trading, the ability to forecast market prices is indispensable. To make sense of market volatility, investors and traders rely on predictive models – indispensable tools that allow us to make more informed, data...Discuss·126 likes·41.9K readsregression models
