Unsupervised Learning - Machine Learning | Lecture Notes - YNetStudyHub
Machine Learning

Unsupervised Learning

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Delving into unsupervised learning methods like clustering, dimensionality reduction, and association rule learning. Understanding how models identify patterns and relationships in unlabeled data.

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Unsupervised Learning Definition: Unsupervised learning is a machine learning technique where the model is trained on unlabeled data. Unlike supervised learning, there are no specific outputs or responses provided to the algorithm during training. Key Points: Clustering: Unsupervised learning includes clustering, where the algorithm groups similar data points together based on their characterist...…

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Unit Syllabus 23 Topics
1
Introduction to Machine Learning
Supervised Learning
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Unsupervised Learning
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Model Evaluation and Validation
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Feature Engineering
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Model Optimization
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Neural Networks and Deep Learning
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Reinforcement Learning
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Ethical Considerations in Machine Learning
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Types of Machine Learning
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Data Preprocessing for Machine Learning
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Model Selection and Evaluation
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Linear Regression
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Logistic Regression
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Decision Trees and Random Forest
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Support Vector Machines (SVM)
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Clustering Algorithms
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Dimensionality Reduction Techniques
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Natural Language Processing (NLP) and Text Mining
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Model Evaluation and Selection
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Deep Learning
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Model Deployment and Monitoring
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Case Studies and Applications
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