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angular-pooja

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

calcultorapp

chat-bot

covid-dashboard-using-angular

covid19-20-tracker

covid19app

csc-478----assignment-3

csc-478---3.1

data

doorbel-camera

Face_Detection

e-commerce-angular-master

fast-food-react

google-landmark-recognition-

java-array

javaleet

javaleetcode

nyc-green-building-and-energy-efficiency

The NYC Benchmarking Law requires owners of large buildings to annually measure their energy and water consumption in a process called benchmarking. The law standardizes this process by requiring building owners to enter their annual energy and water use in the U.S. Environmental Protection Agency's (EPA) online tool, ENERGY STAR Portfolio Manager® and use the tool to submit data to the City. This data informs building owners about a building's energy and water consumption compared to similar buildings, and tracks progress year over year to help in energy efficiency planning. Benchmarking data is also disclosed publicly, analyzed in reports, visualized in the NYC Energy and Water Performance Map, included in energy efficiency policy development efforts such as the Buildings Technical Working Group Final Report, and used to develop free resources such as the NYC Retrofit Accelerator and Community Retrofit NYC to help building owners use less energy and save money. Local Law 33 of 2018 amended the Administrative Code of the City of New York in relation to energy efficiency scores and grades for buildings required to benchmark their energy and water consumption. Energy efficiency scores and grades for these buildings shall be obtained, assigned and disclosed in accordance with the new section §28-309.12 annually, based on benchmarking reporting consistent with Federal energy efficiency standards. An energy efficiency score is the Energy Star Rating that a building earns using the United States Environmental Protection Agency online benchmarking tool, Energy Star Portfolio Manager, to compare building energy performance to similar buildings in similar climates.

pizza

pokemon-project

Pokemon holds a very special place in my heart as it is probably the only video game I have judiciously followed for more than 10 years. With this dataset, I wanted to be able to answer the following questions: Is it possible to build a classifier to identify legendary Pokemon? How does height and weight of a Pokemon correlate with its various base stats? What factors influence the Experience Growth and Egg Steps? Are these quantities correlated? Which type is the strongest overall? Which is the weakest? Which type is the most likely to be a legendary Pokemon? Can you build a Pokemon dream team? A team of 6 Pokemon that inflicts the most damage while remaining relatively impervious to any other team of 6 Pokemon.

react.js-simple-application

satellite-imagery-feature-detection

Satellite Image Detection

trailerapp

trailerapps

vue-app

you-tube