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1.9K views | Machine Learning Algorithms part 3 | Math Avenue : Learn Math By Examples | Facebook

FacebookMath Avenue : Learn Math By Examples

1.9K views | Machine Learning Algorithms part 3 | Math Avenue : Learn Math By Examples | Facebook

Machine Learning Algorithms part 3

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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a. Supervised Learning Learns from labeled data. Goal: Predict output for new inputs. Common tasks: Classification, Regression. Examples: Linear Regression, Decision Trees, SVM. b. Unsupervised Learning Learns from unlabeled data. Goal: Discover hidden patterns. Common tasks: Clustering, Dimensionality Reduction. Examples: K-Means, PCA, DBSCAN. c. Semi-Supervised Learning Uses a small amount of labeled data large unlabeled data.

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Types of Machine Learning (ML) Systems: 1. Based on Learning Style: a.

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🔥 09 ESSENTIAL ML ALGORITHMS You MUST Know! 🚀 Whether you’re a beginner or pro, these are the backbone of every Machine Learning project 👇 1️⃣ Linear Regression – Predict continuous values 📈 2️⃣ Logistic Regression – For binary classification 🔁 3️⃣ Decision Tree – Human-like decision making 🌳 4️⃣ SVM – The margin master ⚔️ 5️⃣ KNN – The neighbor-based learner 🧭 6️⃣ Dimensionality Reduction – Simplify the data 🎯 7️⃣ Random Forest – The power of many trees 🌲 8️⃣ K-Means – Cluster and conq

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🔥 09 ESSENTIAL ML ALGORITHMS You MUST Know! 🚀 Whether you’re a

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Machine Learning Tutorial

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Machine Learning Tutorial

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