Moris Wanyirimoriswanyiri.hashnode.net·Jul 7, 2022A Gentle Introduction to Exponential Regression in PythonIntroduction to Growth Model Some of the areas where these models have been used explain how something grows with changes in the predictor variable, which often is time. A real-life example is modeling the time it takes until the business grows, unde...Discuss·10 likesralphson newto method
Abhayabhayit2000.hashnode.net·Jul 12, 2022Regression Testing: A Complete GuideRegression testing consists of repeated testing of the existing features of any tool, application, or system as it receives new upgrades. Testers conduct it to ensure that an application's live and new functionalities remain working and undamaged. Un...Discuss·2 likes#Regression
Bhagirath Deshani bhagirathkd.hashnode.net·Jul 23, 2022Introduction to Logistic Regression AlgorithmIn Logistic Regression, does not mean that it is a regression algorithm. Logistic Regression extends linear regression with a logistic function to make it suitable for classification. It is arguably the simplest machine learning algorithm for class...Discuss·1 like·28 readsMachine Learning Machine Learning
Rachid_Hthedata.hashnode.net·Apr 14, 2023"Mastering Supervised Learning: A Comprehensive Guide to Understanding Types and Techniques"Content: An Introduction to Supervised Learning: Definition and Types Understanding the Types of Supervised Learning Common Techniques Used in Supervised Learning How to Choose the Right Algorithm for Your Data Conclusion In this blog post, we...DiscussMachine Learning
Kavitha Rkavitharajagopal.hashnode.net·Apr 12, 2023Types of App TestingTesting the apps is an unavoidable activity, but it is essential to know what kind of testing you are performing. One cannot proceed with end-to-end testing every time, regression testing is required when a change is made and to check if it is affect...DiscussFunctional Programming
Rhythm Rawatrhythmblogs.hashnode.net·Apr 7, 2023Supervised Machine Learning Series: Logistic Regression (2nd Algorithm)Logistic regression is a statistical technique used to model the relationship between a dependent variable and one or more independent variables. It is widely used in many fields, including machine learning, social sciences, economics, and medical re...Discuss·31 readsMachine Learning
Pranav Raj N Kyujipranav.hashnode.net·Mar 3, 2023Supervised Learning 101: an intro to Supervised LearningI.Introduction: YO!!! as a Machine learning enthusiast myself, I am constantly working on improving my knowledge in ML, for the past week I have been learning stuff about the different Machine Learning algorithms that are being utilized in our day-to...DiscussMachine Learning
Aditya Sanyaladityasanyal.hashnode.net·Feb 25, 2023Comparing different regression algorithmsWhat is the purpose of comparing algorithms? In the field of machine learning, regression algorithms help us find a trend or a relationship between the input and the output by giving us the regression line. Now, different regression algorithms have t...Discuss·32 reads#Regression
Bhagirath Deshani bhagirathkd.hashnode.net·Feb 4, 2023#91 Machine Learning & Data Science Challenge 91What is the difference between Time series and Regression? Time-series: Whenever data is recorded at regular intervals of time. Time-series forecast is Extrapolation. Time series refers to an ordered series of data. Regression: Whereas in regre...DiscussMachine Learning & Data Science Interview ChallengesMachine Learning
Bhagirath Deshani bhagirathkd.hashnode.net·Jan 4, 2023#28 Machine Learning & Data Science Challenge 28How do you treat heteroscedasticity in regression? Heteroscedasticity means unequal scattered distribution. In regression analysis, we generally talk about heteroscedasticity in the context of the error term. Heteroscedasticity is the systematic c...Discuss·40 readsMachine Learning & Data Science Interview ChallengesMachine Learning
Mathias Winther Madsentodayilearned.hashnode.net·Dec 30, 2022Parameter Estimation for the Multivariate t DistributionThe t distribution has long tails and is therefore robust against outliers. If we can fit a multivariate t distribution to a data set of input-output pairs, we can therefore perform outlier-robust linear regression. This post provides code that does ...Discuss·35 readsprobability
Cognitive Classcognitiveclass.hashnode.net·Oct 24, 2022What Is Regression: Supervised Machine Learning TipsWhat is Supervised Machine Learning and what is Regression? Machine Learning falls into the subset of Artificial Intelligence, defined by the ability of the machine to learn from some data. Supervised Machine Learning, is yet another subcategory of M...Discuss·71 readsMachine Learning
SoluteLabsforsolutelabs.hashnode.net·Oct 24, 2022What is Regression Testing — Definition, Types & WorkingThe Agile software development methodology encouraged enterprises to deploy software and services. New features can address functional flaws or user feature demands. Although incremental delivery provides numerous advantages, application modification...Discuss#Regression
