SVM Algorithm in Python and Machine Learning
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SVM Algorithm in Python and Machine Learning
Support Vector Machine (SVM) algorithm in python & machine learning is a simple yet powerful Supervised ML algorithm that can be used for both regression & classification models.
87.8K viewsDec 24, 2024
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घर में कछुआ किस दिशा मे रखें | #religiouschants #pardeepmishra #vastu
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घर में कछुआ किस दिशा मे रखें | #religiouschants #pardeepmishra #vastu
Religious Chants
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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SVM Tutorial
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