/ROB313-Machine-Learning-Projects

Contains implementations of several common machine learning models and optimization techniques used for regression and classification problems.

Primary LanguagePython

ROB313 Machine Learning Projects

The uploaded projects contain the listed implementations from a first principles approach:

  • k-NN
  • Linear Models
  • Generalized Linear Models
  • Kernelized GLMs
  • Logistics Regression Models
  • Deep Neural Network Models
  • Bayesian Logistics Regression
  • Monte Carlo Importance Sampling
  • Markov Chain Monte Carlo Metropolis-Hastings Sampler

Various optimizaton, learning, and sampling techniques are highlighted for each model.