About this class
Statistical Machine Learning
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Learning Material
Title
Volume
Introduction to Machine Learning
5.89 MB
<p>Introduction to Machine Learning</p>
Linear Regression
5.89 MB
<p>Linear Regression</p>
Logistic Regression
5.89 MB
<p>Logistic Regression</p>
Classification Algorithms (e.g., Decision Trees, Naive Bayes)
5.89 MB
<p>Classification Algorithms (e.g., Decision Trees, Naive Bayes)</p>
Clustering Algorithms (e.g., K-Means, Hierarchical Clustering)
5.89 MB
<p>Clustering Algorithms (e.g., K-Means, Hierarchical Clustering)</p>
Model Evaluation and Validation
5.89 MB
<p>Model Evaluation and Validation</p>
Support Vector Machines
5.89 MB
<p>Support Vector Machines</p>
Neural Networks and Deep Learning
5.89 MB
<p>Neural Networks and Deep Learning</p>
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.JPG)