MATLAB implementations of several basic Machine Learning algorithms/concepts completed at Washington University in St.Louis for courses 417 & 517a. Concepts:
- Logistic Regression
- Legendre Polynomials with glmfit
- Bagged Decision Trees and AdaBoost
- Perceptron
- Naive Bayes
- Gradient Descent
- Bias Variance Trade-Off