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decision-theory

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🧮 🔢 ➕ Projects based in Introduction to Operational Research Labs. This projects was built using Jupyter Notebook, iPython, Python, Anaconda, Spyder IDE, JetBrains PyCharm and MATLAB. This repository it's based in some practical lab exercises and examples related with Introduction to Operational Research, using some software and libraries like M…

  • Updated Sep 18, 2020
  • Jupyter Notebook

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

  • Updated Jan 20, 2024
  • Jupyter Notebook

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