What are some simple machine learning algorithms I can implement in C++?

What are some simple machine learning algorithms I can implement in C++?

You can start with algorithms like Linear Regression, K-Nearest Neighbors, and Decision Trees. Would you like details on any specific one?

Can you explain how Linear Regression works?

Sure! Linear Regression predicts a target variable by fitting a linear equation to observed data. It finds the best-fitting line through the data points.

How do I implement Linear Regression in C++?

You can implement it by using libraries like Eigen for matrix operations. Would you like a code example?

Yes, please provide a simple code example.

Here's a basic example:

#include <iostream>
#include <Eigen/Dense>
using namespace Eigen;

int main() {
    // Sample data
    MatrixXd X(5, 2);
    X << 1, 1,
         1, 2,
         2, 2,
         2, 3,
         3, 3;
    VectorXd y(5);
    y << 1, 2, 2, 3, 3;

    // Linear regression calculation
    VectorXd beta = (X.transpose() * X).inverse() * X.transpose() * y;
    std::cout << "Coefficients: " << beta.transpose() << std::endl;
    return 0;
}