Data Science Foundry
@datasciencefoundry • 12,100 subscribers
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Are the differences between three groups actually meaningful, or could they just be due to random variation? That's what ANOVA helps you find out. 📊 Here's the intuition: 🔹 Between-group variation: Measures how far each group mean is from the overall mean. 🔹 Within-group variation: Measures how much observations vary around their own group mean. 🔹 F-statistic: Compares these two sources of variation. A larger F-statistic suggests stronger evidence that not all group means are equal. 🔹 P-value: Tells you how surprising the observed F-statistic would be if all population means were equal. How do you interpret the result? ✅ If the p-value is below your significance level, you reject the null hypothesis that all population means are equal. ✅ However, ANOVA only tells you that at least one group mean differs. To find out which groups differ, you need follow-up tests such as Tukey's HSD. #ANOVA #Statistics #HypothesisTesting #DataScience #MachineLearning
Data Science Foundry23,100 просмотров • 4 дней назад
These are 8 of the most important supervised machine learning algorithms you should know. 🧠 1️⃣ Linear Regression: Predicts a continuous value by modeling a linear relationship between inputs and the target. 2️⃣ Logistic Regression: Predicts the probability of a class, making it a common choice for classification. 3️⃣ K-Nearest Neighbors: Makes predictions based on the labels or values of nearby examples. 4️⃣ Support Vector Machine (SVM): Finds a decision boundary that separates classes while maximizing the margin between them. 5️⃣ Decision Tree: Makes predictions through a sequence of feature-based decisions. 6️⃣ Random Forest: Combines many decision trees to produce a more robust prediction. 7️⃣ Boosting: Builds an ensemble sequentially, with each new model focusing on errors from the existing ensemble. 8️⃣ Neural Network: Learns complex, non-linear relationships through layers of interconnected neurons. #SupervisedLearning #MLAlgorithms #PredictiveModeling #DataScienceEducation #MachineLearning
Data Science Foundry161,000 просмотров • 2 месяцев назад
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