Topic: "regression-modeling"
acdick/dynamic_speed_optimization
Modeling ship performance curves to reduce fuel consumption
Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 12
jlmayorgaco/r-biblio-synth
This project focuses on automating the analysis and reporting of bibliometric data, specifically targeting the annual production of academic articles. The primary goal is to understand trends, anomalies, and patterns in bibliometric data through a combination of statistical modeling and exploratory data analysis.
Language: R - Size: 46.1 MB - Last synced at: about 20 hours ago - Pushed at: about 22 hours ago - Stars: 2 - Forks: 0
KevinVChin/Google-Advanced-Data-Analytics-Professional-Certificate
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, statistical techniques, and experimental design to collect and analyze large amounts of data.
Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
luliatuccu/Substance_Abuse_Spatial_Analysis
This project highlights the critical relationship between substance use and mental health in the US using 2021 NSDUH data. Key findings show opioid use significantly impacts mental health, with the South and Midwest regions having the highest prevalence. Spatial analysis highlights clusters of misuse, offering insights to inform public health strat
Size: 21.5 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
stefagnone/-Employee-Salary-Analysis-and-Insights
Predictive analysis of employee salary determinants for an anonymized dataset, highlighting key factors influencing salary and providing insights for salary policy improvements.
Size: 1.76 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
srimallipudi/Harmon-Foods-Forecasting-Model
Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.
Language: R - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
chaitanya9321/Boston-House-Pricing
This project implements a Flask web app for predicting Boston house prices using a stacked ensemble model with Random Forest and XGBoost. The machine learning solution is trained on a dataset featuring various housing-related features.
Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
enyangxxx/coursera_gapminder_linearReg
Regression Modeling in Practice - Gapminder studies - Coursera
Language: Python - Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
