A study on 'a titanic probability' via kaggle's dataset.
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Updated
Mar 25, 2019 - Python
A study on 'a titanic probability' via kaggle's dataset.
This repo contains EDA of red and white wine and how it relates to quality.
A statistical study to compare vehicle performance of the MechaCar vehicles against other manufacturers. Perform multiple linear regression analaysis , T-tests and collect summary statistics on various parameters.
Exercises and assignments made during a Computational Intelligence class at Federal University Of Ceará.
Statistical analysis of a product prototype using R and tidyverse. Multiple linear regressions, statistical summaries, and t-tests are used for analysis and predictions. A study is also designed to compare this product to the competition.
In this repository works using diffrent types of regressions
This assignment was for a US bike-sharing provider, BoomBikes, wherein a multiple linear regression model was used to predict demand for shared bikes to help the company come up with a mindful business plan to accelerate its revenue.
This repository concerns Machine Learning concepts Contents: Written by Brian Lesko, the repository contains Python Notebooks demonstrating Statistical Machine Learning theories largely originating from the book, An Introduction to Statistical Learning, by Gareth James.
Forecasting Car Price using Multiple Linear Regression
Analysed and model built for wine quality
Simulation of buildings energy efficiency
Final Project for STA 141A with Dr. Emmanuela Furfaro
Time series model using multiple linear regression on call-centre data.
This GitHub repository showcases a Python project implementing insurance prediction through a multiple linear regression machine learning algorithm, featuring a PyQt5 graphical user interface for seamless user interaction.
➕ Solving Problems Using ➗ (✔Linear Regression Algorithm✔)
Data Analysis of the impact of socio-economic background on driving behavior among US teens.
Regressão Linear: Testando Relações e Prevendo Resultados
This case study uses exploratory data analysis (EDA) and regression to predict alcohol levels in wine by modeling several linear regression models with varying parameters.
A simple Multiple Regression model to predict the quality of air(AQI) using a dataset that contains Air pollutants' values of different cities of India.
An automotive manufacturer's newest prototype has been suffering from production troubles. I offered to review the production data to identify insights that may help. Within that, several statistical analyses were performed in R, including a multiple linear regression analysis to determine which variables in the dataset can be used to most accur…
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