Jyotiprakash Mishrablog.jyotiprakash.org·Dec 17, 2024Introduction to Linear and Logistic Regression in PythonMachine learning often seems intimidating at first glance, but at its core, it builds upon mathematical concepts we're already familiar with. Let's demystify two fundamental regression techniques through their mathematical foundations. Linear Regress...3 likes·252 readsMachine Learning
Jyotiprakash Mishrablog.jyotiprakash.org·Dec 10, 2024Getting Started with Python for Machine Learning: A Beginner’s GuideIn the vast landscape of programming languages, Python stands out as a beacon for machine learning. Its simplicity, readability, and extensive ecosystem make it the ideal companion for both beginners and experts in the field. Unlike other languages b...3 likes·472 readsmachine l
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...best 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...Linear 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...32 likes·153 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 ...71 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 ...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 ...Anomaly 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...Linear 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...21 likes·52 readsHandwritten Digit Recognition
