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Updated
Oct 5, 2019 - Jupyter Notebook
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linear-discriminant-function
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Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
neural-network clustering linear-algebra probability bayesian-network pca perceptron support-vector-machine linear-model gmm decision-tree probabilistic-graphical-models latent-variable-models decision-theory boosting maximum-likelihood-estimation bayesian-estimation linear-discriminant-function non-parametric-learning
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Updated
Jan 20, 2024 - Jupyter Notebook
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