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In course
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Explores logistic regression for predicting vegetation proportions in the Amazon region through remote sensing data analysis.
Introduces fundamental machine learning concepts, covering regression, classification, dimensionality reduction, and deep generative models.
Explores document analysis, topic modeling, and generative models for data generation in machine learning.
Explores logistic regression fundamentals, including cost functions, regularization, and classification boundaries, with practical examples using scikit-learn.
Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.