Matlab

Here is a list of a series of free and paid resources that can be used for different aspects of Quantitative finance and algotrading development. Languages Python R Matlab Julia Java JavaScript Haskell Scala Ruby Elixir/Erlang Golang CPP CSharp Rust Frameworks Reproducing Works Python Numerical Libraries & Data Structures numpy — NumPy is the fundamental package for…

Some digital examples — by Stuart Smith After generating thousands of digital images with my app, I came to see that they were falling into a small number of categories. Many images were purely geometrical compositions of lines and shapes. Another group had colored swaths of parallel, sinuous lines flowing all over the image…

Lasso regression is a useful technique for variable selection and regularization in linear regression. In this tutorial, we will walk through an example of performing lasso regression on the ‘carbig’ dataset available in MATLAB. …

In this tutorial, we will delve into the concept of ridge regression, a powerful technique for addressing multicollinearity and overfitting in regression analysis. We will explore how ridge regression works, its benefits, and how to implement it using MATLAB. By the end of this tutorial, you will have a solid…

Nonlinear regression is a powerful technique used to fit complex models to data that do not follow a linear relationship. MATLAB provides robust tools for performing nonlinear regression analysis, allowing you to find the best-fit parameters for your model and make predictions based on the fitted model. …

Welcome to the tutorial on logistic regression in MATLAB using a dataset from MATLAB’s own dataset repository. Logistic regression is a fundamental and widely-used classification algorithm in machine learning. …

In this tutorial, we will explore how to use polynomial regression to model nonlinear relationships in MATLAB. Polynomial regression is an extension of linear regression that allows us to fit a polynomial equation to the data, enabling us to capture nonlinear patterns. …

Multiple linear regression is a powerful statistical technique used to model the relationship between multiple independent variables and a dependent variable. MATLAB provides robust tools and functions to perform multiple linear regression analysis efficiently. …

In this tutorial, we will explore the fundamentals of simple linear regression and learn how to perform it using MATLAB. Linear regression is a widely used statistical technique for understanding and modeling the relationship between two variables. It helps us analyze and predict the behavior of a dependent variable based…