Rate based Static Impact Analysis for robotic systems
-
Updated
Dec 21, 2016 - C++
Rate based Static Impact Analysis for robotic systems
Ruby language samples for Nexosis API
A CSE225:Numerical Methods course project on Curve Fitting regression and Interpolation
A deep learning classifier for classifying ideational impact of research papers.
Impact analysis of software change leveraging ML, NLP models from huge number of test cases and requirement documents written in English – Using Universal Sentence Encoder (USE) model
Electric Vehicle Load Profiles Generator for LV grid studies
Code and data to replicate "Money Matters: The Role of Yields and Profits in Agricultural Technology Adoption."
The first DeFi aggregator project supporting Green Blockchain infrastructure and framework for eco-projects, startups, micro, small and medium size enterprises for the formal and the informal sectors.
GPS Controlled Robotic Vehicle for Environmental Impact Analysis
Working Papers on Statistics (mainly works on my MSc in Statistics), Cliometry (my PhD) and Data Science focused on value impact
Website for showing the all codes and methodology to analyze compound extreme events and their socio-economic impacts.
Urban flood database
Test impact analysis for python projects
In this project we will run an A/B testing analysis by leveraging the Chi-Square test for independence and assess the impact of a new ecommerce web page on the users conversion rate compared to an old web page.
Simulate the impact dynamics of a dice rolled in a box using SymPy
This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric transducers (PZTs) connected to an Internet of Things (IoT) device.
QuickU's uniform marketing across segments needs segmentation analysis to leverage each segment's behavior.
An R package offering quick and easy prototyping for non-causal impact analysis.
In this project I used ML modeling and data analysis to predict ad clicks and significantly improve ad campaign performance, resulting in a 43.3% increase in profits. The selected model was Logistic Regression. The insights provided recommendations for personalized content, age-targeted ads, and income-level targeting, enhancing marketing strategy.
Add a description, image, and links to the impact-analysis topic page so that developers can more easily learn about it.
To associate your repository with the impact-analysis topic, visit your repo's landing page and select "manage topics."