An R Package for Fitting Functional Models to 2-Dimensional Data
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Updated
Jul 23, 2018 - R
An R Package for Fitting Functional Models to 2-Dimensional Data
Python programming labs done throughout the course CSC406 - Artificial Intelligence
stanford university
Assessing the regression problem providing a linear model and a non-linear model.
This repository contains my coursework submissions for the 'Introductory Applied Machine Learning' course.
Statistics for Data Science Assignment
A library of functions to perform quantitative analysis of MRI data
Predicted the store level- Global, Division , Department at which the Mean Absolute Percent error is the least for the lift obtained through promotional and baseline sales.
Exemplo de Regressão Linear e Não Linear (BoxCox) utilizando com visualizações gráficas do ggplot.
Predicting concrete compressive strength using GAM regression.
Linear / non-linear regression problem and their comparison and Convolutional Neural Network, Feed Forward Neural Network and their accuracy measurement.
codes for solving minima and least squares fit problems
Builder a nonlinear regression model for estimating the size of some software
Machine Learning Techniques (Regression, Classification, Classifier, Support Vector Machines, Clustering)
Repo where different methods for price regression are used (supervised machine learning)
Numerical framework for analysis of large-scale noisy experimental concentration profiles.
Prediction of Abalone's age through its number of rings.
Price Prediction of the AirBnb
Using Non-linear mathematical growth models to describe the growth pattern of commercial broiler chickens.
Household-Power-Consumption Machine Learning Project
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