An R Package for Fitting Functional Models to 2-Dimensional Data

Python programming labs done throughout the course CSC406 - Artificial Intelligence

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.

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

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.

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

codes for solving minima and least squares fit problems

Builder a nonlinear regression model for estimating the size of some software