Deepak Kumar Mohantykumarblog-1.hashnode.dev·Oct 26, 2024Finding the Best-Fit Line in Linear Regression – Manual Minimization vs. Gradient DescentWhen working with linear regression, the goal is to identify the best-fit line that captures the relationship between your input (independent) variable x and output (dependent) variable y. This line, represented by the equation: $$h_{\theta}(x) = \th...Discussbest fit line
HowAiWorksblog.howai.works·Oct 21, 2024Linear regressionIn this post, we'll explain what linear regression is and how it works, look at key metrics for analysis, and show how linear regression fits into AI. By the end, you'll understand these concepts without any maths. Let’s get started with an example L...DiscussLinear Regression
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Aug 1, 2024Comprehensive Guide to Linear Regression: Examples and Model DiagnosticsLinear regression is one of the simplest yet most powerful tools in the realm of machine learning and statistics. It's a fundamental algorithm that helps us understand relationships between variables and make predictions. Whether you're new to data s...Discuss·30 likes·116 readsMachine LearningPython
Utkal Kumar Dasukc.hashnode.dev·Jul 23, 2024Understanding Linear Regression in Machine LearningRegression in ML is a supervised learning algorithm which computes a relationship between dependent and independent variables. It is most often used to predict an output from multiple possible outputs. (in most of the cases it is a number) There are ...Discuss·70 readsLinear Regression
Ojas Aroraojas1423.hashnode.dev·Jul 20, 2024Machine Learning Basics: Simple Guide to Regression and Classification for BeginnersMachine learning (ML) is transforming industries by providing systems the ability to automatically learn and improve from experience without being explicitly programmed. This guide will introduce key concepts and techniques that form the backbone of ...Discuss·10 likesMachine Learning
Suraj Karkisavvysuraj.hashnode.dev·Jun 28, 2024Anomaly Detection Using Linear ModelBefore I start, let's have some motivation: "Cry. Forgive. Learn. Move on. Let your tears water the seeds of your future happiness." Steve Maraboli This is the third lesson of the Anomaly Detection lecture series. In this lesson, we will see how ...DiscussAnomaly DetectionMachine Learning
Retzam Tarleretzam.hashnode.dev·Jun 17, 2024Linear Regression - Supervised Learning Regressionprint("Linear Regression") Aloha 👽, In our last chapter, Introduction to Supervised Learning Linear Regression, We discussed and learned the idea behind Linear Regression in supervised learning tasks. In this chapter, we'll put our knowledge into pr...DiscussLinear Regression
Lakshay Dhoundiyallakshaydhoundiyal.hashnode.dev·Jun 11, 2024Exploring the Best 5 AI Algorithms and Their ApplicationsArtificial Intelligence (AI) is revolutionizing how we interact with technology, making it smarter and more intuitive. This transformation is occurring due to these powerful algorithms that enable machines to learn from data and make informed decisio...Discuss·21 likes·52 readsHandwritten Digit Recognition
Haocheng Linhaochengcodedev.hashnode.dev·Apr 25, 2024Unveiling Bayesian Linear Regression: A Step-by-Step Guide to Posterior DistributionIntroduction In machine learning, Bayesian Linear Regression offers a probabilistic framework to understand the relationships between variables. Unlike its classical counterpart, Bayesian regression provides a distribution over possible values of par...DiscussBayesian
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·Apr 23, 2024Machine learning - Linear Regression (Part 2)From our previous blog on Data Pre Processing , we came to know how to pre process the data. Let's work on this data set. YearsExperienceSalary 1.139343 1.346205 1.537731 243525 2.239891 2.956642 360150 3.254445 3.264445 3.757189 3.9...Discuss·47 readsLinear Regression
