Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 14, 2024Understanding Supervised Learning: A Practical Guide with Python Code ExamplesSupervised learning is a fundamental concept in machine learning where the model learns from labeled data to make predictions or classifications. In this blog post, we'll dive deep into supervised learning, exploring its principles, algorithms, and a...DiscussAI/ML Blog By PrakharRegression Algorithms
Shaun Liewshaunliew.hashnode.dev·Apr 6, 2024The difference between linear regression and logistic regression[forwarded from my linkedin article] Hello, everyone from LinkedIn Network. I'm Shaun Liew Xin Hong, a CS student from Universiti Sains Malaysia. In this post, I would like to share my thoughts about the difference between Linear Regression and Logis...Discusslinearregression
Niharika Khannaniharikakhanna.hashnode.dev·Mar 22, 2024Demystifying Logistic RegressionCertainly! Here's a breakdown of logistic regression: Introduction: Logistic regression is a statistical method used for binary classification problems, where the response variable has two possible outcomes. Assumptions: Assumes linearity betwee...DiscussMachine Learning
SHREYAS GANDHIshreyas0607.hashnode.dev·Mar 13, 2024Rock Vs Mine Prediction Using Machine LearningIn this project, we're leveraging logistic regression for a specific task: predicting whether an object is a rock or a mine. This endeavor falls under supervised learning, meaning we have labeled data to train our model. Throughout this process, main...Discuss·3 likesMachine Learning
Konrad RyłkoProagileandcode.com·Mar 5, 2024Logistic Regression with Nx and ElixirIn the previous post, I described how to create a Linear Regression Machine Learning model in Elixir from scratch. This time we'll discuss so similar yet different beast - Logistic Regression. Logistic Regression First things first - what is this fun...DiscussMachine Learning in ElixirElixir
Bitingo Josaphatbitingo-the-deep-neural-nets.hashnode.dev·Jan 25, 2024Depression Classification using Textual DataIntroduction In the realm of machine learning, the ability to detect and classify mental health related issues from textual data has significant implications for public health and well being. In this blog post, I will walk you through the process of ...Discuss·11 likes·65 readsMachine Learning
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
Kumar Sakshamneuralrealm.hashnode.dev·Dec 19, 2023How Gradient Descent works in Logistic Regression | Episode 11To train a logistic regression model, we need to determine the values of the parameters w and b that minimize the cost function J of w and b. To accomplish this, we'll use gradient descent. In this video, we'll focus on how to choose good values for ...Discuss·3 likes·38 readsMachine LearningData Science
Kumar Sakshamneuralrealm.hashnode.dev·Dec 16, 2023How Cost Function Works in Logistic Regression | Episode 10Introduction Hello there, fellow learners! Welcome back to the 10th episode of our machine-learning adventure. As you might recall, we are exploring the fascinating world of logistic regression. In today's discussion, we will focus on the "cost funct...Discuss·4 likes·26 readsMachine LearningData Science
Kumar Sakshamneuralrealm.hashnode.dev·Dec 12, 2023Understanding Logistic Regression| Episode 9Welcome back! In the previous episodes, we learned about Linear Regression, a powerful tool for predicting continuous outcomes. We learned how to draw the best-fitting line through our data by optimizing parameters to minimize the difference between ...Discuss·3 likes·66 readsMachine LearningData Science
