Distributed least squares approximation (dlsa) implemented with Apache Spark
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Updated
Nov 9, 2023 - Python
Distributed least squares approximation (dlsa) implemented with Apache Spark
RANSAC (RANdom SAmple Consensus) Algorithm Implementation
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Numerical analysis methods implemented in Python.
Robust Regression for arbitrary non-linear functions
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
Some useful algorithms implemented in Python
a collection of numerical methods written in python language.
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 project leverages data science skills, including least squares regression, causal inference techniques, and decision tree classification in order to answer to distinct questions regarding Democratic Candidate primary election results.
codes for solving minima and least squares fit problems
⚽ Trabalho Prático - Calculo Numérico Computacional
This repository consists of the codes that I wrote for implementing various pattern recognition algorithms
Least Squares and Huber regression via CQPs
Fuel efficiency prediction model using different linear regression types. Based on Mileage Per Gallon (MPG) dataset.
Outlier Rejection with RANSAC & Least Squares
KCL and KVL for the bridge circuit
A prediction model of insurance prices, Assignment 1 from the course "Intro to data science"
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