Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.
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Updated
Aug 12, 2017 - Python
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
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Robust Regression for arbitrary non-linear functions
This is the implementation of the five regression methods Least Square (LS), Regularized Least Square (RLS), LASSO, Robust Regression (RR) and Bayesian Regression (BR).
This repository consists of the codes that I wrote for implementing various pattern recognition algorithms
⚽ Trabalho Prático - Calculo Numérico Computacional
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
Outlier Rejection with RANSAC & Least Squares
Covers curve fitting using ransac and a simple implementation of SVD
This repository contains numerical methods for finding solutions of a nonlinear equation as well as to approximate functions from a dataset of (x, y) points.
Several numerical methods are provided here written in Python.
DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
RANSAC (RANdom SAmple Consensus) Algorithm Implementation
Numerical analysis methods implemented in Python.
This python application takes the information from the spread of COVID-19 in the US and determines the effectiveness of the Stay At Home Orders for each state. To analyze the effectiveness, I used a cubic least square polynomial and the SIR model and compared these two models before and after date the stay at home orders were issued.
pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.
a collection of numerical methods written in python language.
A prediction model of insurance prices, Assignment 1 from the course "Intro to data science"
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