Machine Learning: Logistic Regression Python in 30 sec.
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Bakso Mas Bay on Instagram: "Terimkasih sudah nonton video video saya yang ga jelas ini ya bund 😆, lagi ga ada inspirasi, tepar banget habis produksi sop buah 😅, setelah saya evaluasi kelemahan usaha ini, butuh banyak tenaga kerja jadi ga bisa di selipin mesin buat ngurangi biaya produksi 😅"
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MichaeL | Teaching myself ML on Instagram: "Using gradient descent in logistic regression. ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️ —-——-——-——-——-——-——-——-— **Study Group Info** Want to master Machine Learning? ➡️Comment “Study” to join my exclusive study group** —-——-——-——-——-——-——-——-— ⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️ —- ⏳ 1 H —- #math #ml #ai #machinelearning #artificialintelligence #DataScience #computerscience"
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MichaeL | Teaching myself ML on Instagram: "Using gradient descent in logistic regression. ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️ —-——-——-——-——-——-——-——-— **Study Group Info** Want to master Machine Learning? ➡️Comment “Study” to join my exclusive study group** —-——-——-——-——-——-——-——-— ⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️⬆️ —- ⏳ 1 H —- #math #ml #ai #machinelearning #artificialintelligence #DataScience #computerscience"
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KNN vs Logistic Regression: The Ultimate Showdown
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Logistic Regression in a Nutshell: Quick & Powerful Explanation! 📊
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Linear regression Vs Logistic regression in research: #data #datascience #biostatistics #machinelearning #foryou #viral
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AI • Machine Learning • Tech on Instagram: "Logistic regression is a statistical model used for binary classification tasks, where the goal is to predict one of two possible outcomes. Unlike linear regression, which predicts a continuous value, logistic regression predicts the probability that an input belongs to a particular class. The model uses the logistic function, also known as the sigmoid function, which maps any real-valued number into a value between 0 and 1. The logistic function creat
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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 • Machine Learning • Tech on Instagram: "Logistic regression is a statistical method used for classification tasks (binary and multi), where the goal is to predict the probability that a given input belongs to a class. Unlike linear regression, which outputs a continuous value, logistic regression uses a logistic function to model the probability of the target variable belonging to one of two categories, mapping any input to a value between 0 and 1. The decision boundary in logistic regressio
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