Implemented basic Machine learning algorithms from scratch. K means clustering, Least squares, Principal Component Analysis and LDA
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Updated
Feb 27, 2019 - Jupyter Notebook
Implemented basic Machine learning algorithms from scratch. K means clustering, Least squares, Principal Component Analysis and LDA
Implemented some linear algebra algorithms in python.
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.
implementation of least squares method and power method for finding dominant eigenvalue and eigenvector
My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.
Yet another COVID-19 tracker.
Data-management software that refines guesses at primitive boundary conditions for mass transport models of scanning electrochemical microscopy (SECM) images.
codes for solving minima and least squares fit problems
Multiple Practice Projects : Iris EDA , Url Shortner App, Linear Regression from scratch.
A prediction model of insurance prices, Assignment 1 from the course "Intro to data science"
Salary prediction implementation using PHP-ML LeastSquares Linear Regression Algorithm
This project is an implementation of various machine learning algorithms (regression, classification, clustering, etc.).
This was part of the lecture "object oriented programming of heuristics" at the KU Ingolstadt.
Outlier Rejection with RANSAC & Least Squares
Ejercicio de regresiones por distintos métodos (Mejor Selección de Conjuntos, Selección de pasos hacia adelante, Ridge, LASSO, Elastic Net, Componentes Principales, Mínimos Cuadrados Parciales, etc.)
programmation de l'algorithme des moindres carrées, K- means, RANSAC (Random Sample Consensus) sous R à partir de zéro, sans utiliser les fonctions intégrées.
KCL and KVL for the bridge circuit
Program that generates linearly distributed events based on the information provided about the line.
Small C++ program that predicts a movie rating based on 4 predictors in an IMDB dataset , and a Least Square Regression algorithm
⚽ Trabalho Prático - Calculo Numérico Computacional
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