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KNN vs Logistic Regression: The Ultimate Showdown
483 views
7 months ago
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Artificial Intelligence | AI on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores ba
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Data Science | ML | AI Community 👩🏫 on Instagram: "📍Day 34: Logistic Regression Cheatsheet. Share this reel and send a screenshot, we will DM the PDF version for FREE👇 ✅ Logistic regression is a statistical method used in machine learning for predicting the probability of a binary outcome (e.g., yes/no, 0/1) based on a set of independent variables. It’s a supervised learning algorithm, meaning it learns from labeled data to make predictions. Unlike linear regression which predicts continuou
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4 months ago
Instagram
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Artificial Intelligence | AI on Instagram: "Logistic regression is a statistical method used for binary classification problems, where the goal is to predict one of two possible outcomes. It uses the logistic function (also known as the sigmoid function) to map predicted values to probabilities between 0 and 1. If the probability is above a certain threshold, the input is classified into one category; otherwise, it is classified into the other. C: 3 minute data science (yt)"
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AI in 1min on Instagram: "Data science interview question: Logistic Regression? Logistic regression is a machine learning algorithm used for classification tasks, particularly when the outcome we want to predict falls into binary or categorical categories. For example, consider predicting whether a student will pass or fail an exam based on the number of hours they study. Logistic regression uses a mathematical model called the logistic or sigmoid function. This function maps the relationship be
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