Accepts a set of data, then compute the third degree polynomial fit of the given data set by the method of least squares using a Vandermonde Matrix
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Updated
Feb 20, 2017 - C++
Accepts a set of data, then compute the third degree polynomial fit of the given data set by the method of least squares using a Vandermonde Matrix
Small C++ program that predicts a movie rating based on 4 predictors in an IMDB dataset , and a Least Square Regression algorithm
Vanishing Point detection for images and videos using Least Squares in C++
Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.
Algorithms for logistic regression, including regularization, soft-max loss and classifier
Contains various mini projects based on different machine learning algorithms.
Experimental library using CUDA
Linear Least Squares Regression with Eigen Dense Solver using QR decomposition and LU decomposition.
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Program that generates linearly distributed events based on the information provided about the line.
implementation of least squares method and power method for finding dominant eigenvalue and eigenvector
Robust Regression for arbitrary non-linear functions
Trilateration example using least squares method in scipy
Performs the linear fit of a dataset with the least squares method.
Applied Least Square, Ridge and Lasso regression models to predict the number of comments a blog post will receive
Implemented basic Machine learning algorithms from scratch. K means clustering, Least squares, Principal Component Analysis and LDA
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
Introduction to Machine Learning
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