Clement Clementsoncjclementson.hashnode.dev·Mar 5, 2024Supervised Learning - Simple Linear RegressionIf you came from my Introduction to Machine Learning, you will have a high-level understanding of Supervised Learning and Machine Learning. If not, click the link above, like and subscribe... oh wait wrong platform. You can also read the next section...Discuss·64 readslinearregression
Niharika Khannaniharikakhanna.hashnode.dev·Mar 1, 2024Embarking on the ML Journey: Day 1 with Linear RegressionHey there, fellow learners! Today marks the beginning of an exciting journey into the world of Machine Learning (ML). I dove headfirst into the basics and took my first steps towards building ML models. Let me share my exhilarating experience with yo...DiscussMachine Learning
Konrad RyłkoProagileandcode.com·Feb 19, 2024Optimize ML with Feature EngineeringIn this article, I'll focus on getting as much value as possible from training data, particularly features. We'll continue our journey started in Linear Regression model using Elixir and Nx. Let's jump into the practice and learn how to squeeze lemon...Discuss·1 likeMachine Learning in ElixirMachine Learning
Gyanendra Vardhangyanendra.hashnode.dev·Feb 15, 2024Advanced Linear Regression Tutorial: Understanding Regression Problems, Global Minimum, and Gradient DescentChapter 1: Introduction to Linear Regression Linear regression is a foundational technique in the field of machine learning and statistics, serving as a fundamental building block for predictive modeling. At its core, linear regression aims to establ...Discusslinearregression
Abraham Lunadsnotes.hashnode.dev·Jan 29, 2024Basic Linear Regression ModelOne of the most common model used in Machine Learning is Linear Regression. The linear regression determines the line that best represents the trend and relationship between two variables. Once the relationship (correlation) is defined a linear regre...Discuss#Regression
Sudhin Karkitechgigsudhin20.hashnode.dev·Jan 24, 2024Fundamental Machine Learning AlgorithmsLinear Regression It is a supervised learning algorithm used to predict continuous outcome based on number of input features. It assumes a linear relationship between input features and output variable. It tries to minimize the sum of squared differe...DiscussMachine Learning
Rajesh Kumar Bandarudata-alchemist.hashnode.dev·Jan 22, 2024Understanding Linear Regression: A Fundamental Tool for Analyzing Relationships in DataLinear regression is used to model and analyze the relationship between a dependent variable and one or more independent variables. In other words, It captures the correlation between variables observed in the dataset and quantifies whether those cor...Discussleastsquares
Kumar Sakshamneuralrealm.hashnode.dev·Dec 9, 2023Linear Regression Practical Implementation | Episode 8Recap from Previous Episodes In the previous episodes, we discussed the basics of linear regression and differentiated between simple and multiple linear regression. Simple linear regression, which is expressed as y=mx+b, is used to model the connect...Discuss·2 likes·37 readsMachine LearningData Science
Sai Prajothsaiprajoth.hashnode.dev·Dec 2, 2023Mastering Linear RegressionMachine learning is a lucrative technology, not because of the hype cycle but due to the logic, understanding, and potential it has in solving problems. Let's start with a basic definition of Machine Learning. Machine Learning, who are you? Machine l...Discuss·20 likesAI Learning SeriesArtificial Intelligence
Adityaascendantaditya.hashnode.dev·Nov 18, 2023Empower Your Data Science Journey: A Curated List of Free Resources and Courses for Beginners and Enthusiasts1 . Coursera - Data Science and Machine Learning Specialization by Andrew Ng: Data Science and Machine Learning Specialization by Andrew Ng is a great starting point. It covers key topics in data science and machine learning. edX - Introduction...DiscussData Science