lezippo

BinarySearchTrees

Functions to create a BRT, print it, destroy it, add an element, search an element, remove an element.

decisionTreeClassifier

Implementation of a simple Decision Tree Classifier, entirely made in Swift

Interpolation

Interpolate nodes using Lagrange polynomials and natural cubic splines

LeastSquaresRegression

Fitting data using a polynomial obtained by the Least Squares Method

lezippo

Config files for my GitHub profile.

lezippo.github.io

LinearSystemsResolution

Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods

NumericalIntegration

Integrals' approximation using Composite Trapezoidal and Simpson's x Composite rules

ODE

Solution approximation using Euler's Method and Slope Field representations

PredictStudentsDropoutAndAcademicSuccess

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

lezippo/LeastSquaresRegression

Fitting data using a polynomial obtained by the Least Squares Method

lezippo/BinarySearchTrees

Functions to create a BRT, print it, destroy it, add an element, search an element, remove an element.

lezippo/decisionTreeClassifier

Implementation of a simple Decision Tree Classifier, entirely made in Swift

lezippo/Interpolation

Interpolate nodes using Lagrange polynomials and natural cubic splines

lezippo/lezippo

Config files for my GitHub profile.

lezippo/lezippo.github.io

lezippo/LinearSystemsResolution

Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods

lezippo/NumericalIntegration

Integrals' approximation using Composite Trapezoidal and Simpson's x Composite rules

lezippo/ODE

Solution approximation using Euler's Method and Slope Field representations

lezippo/PredictStudentsDropoutAndAcademicSuccess

Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.

lezippo/RootFindingAlgorithms

Find functions' zeros using Bisection, Fixed Point, Newton, Secants Methods