ai-photo-search-columbia-f2018

applications-using-p5.js

p5.js is a very usefull and flexible javascript framework for making 2d animations. we can also build games associating voice inputs by user and also camera inputs. so, Here are few such applications.

assembly

MIPS programming language in QTspim (works fine in MARS too!!)

cpp-and-c-programs-for-data-structures

Basic as well as he competitive programming C, C++ programs.

cse4014-labs-and-assignments

Contains IEEE formatted Papers for each labs and Digital assignments with qns and inferences.

dip_lern

All of my Deep learning practice works and mini-projects aka ipynb files. Feel free to use them as your assignments or reproduce them as needed.

dl_revise

NN_revise

earthquakerepohackhub

Extent and damage of earthquake Determining the degree of damage that is done to buildings post an earthquake can help identify safe and unsafe buildings, thus avoiding death and injuries resulting from aftershocks. Leveraging the power of machine learning is one viable option that can potentially prevent massive loss of lives while simultaneously making rescue efforts easy and efficient. In this challenge we provide you with the before and after details of nearly one million buildings after an earthquake. The damage to a building is categorized in five grades. Each grade depicts the extent of damage done to a building post an earthquake. Given building details, your task is to build a model that can predict the extent of damage that has been done to a building after an earthquake.

elocals

We were required to create a signin cum referral webpage for eLocals extension. Assumptions: It is assumed that user would have created an account using mobile app. So, there is no scope of signup. Only signin. Language: Backend : PHP. Frontend : HTML, CSS, Javascript, jQuery, etc.

fa22_mg-gy_8411

Course works and assignment for Data Engineering Course at NYU

fantastock

A Fantasy Stock trading application. Sign up and test your skills in the stock market. Earn more coins and rule the kingdom of Fantastock!

gps-based-mobile-tracker

home-fix

An app to help every person to have that friend who helps to fix house hold issues and provide similar help. We believe that this platform users can not only take the help but also provide the help for their friends charging the coins of their wish.

htc-itmr-intern

Internship work updates from date 3-5-19

hungrazyny

Project of Dining Concierge for NYC designed during the course of Cloud Computing at NYU

imad-app

Base repository for IMAD course application.

incontrol

To construct a Advanced Driver Assistant System (ADAS) That acknowledges his presence making sure of security. It alerts driver if he is drowsy or distracted and helps him in navigation by speech and reduces the possibilities of accidents. Also includes cool features like the user can control his music systems using his speech saying play, pause, next-song etc phrases!.

innovcers-challenge

To solve two ML problems where one was about the classification of Breastcancer status to mailgnent or benign and second one was to predict scores given by people on the trip advisor app based on their experiences as features and detecting the best features among them.

maskodagama

The model detects if the person is wearing mask or not.. Designed only using 3 libraries - cv2, numpy, math

ml-challenge-land-classification-

There are multiple satellites that capture the data about the amount of light intensity reflected at different frequencies from the Earth at a very granular geographic level. Some of this information can be used to classify the Earth into different buckets - built-up, barren, green or water. So for this problem, we have created training data with different parameters classified into the 4 classes. Now we want to classify the rest of the data in either of these classes. Consider that you have no information about what these column names mean. Evaluate the suitability of the provided dataset for neural network based methods and provide cons, if any. Further, build a supervised classification model using deep learning techniques to classify the entire data into built-up, barren, green or water. We expect you to play with the data, plot some graphs and see what makes sense; instead of blindly applying a black-box model.

otto-groups-classification

The Otto Group is one of the world’s biggest e-commerce companies, with subsidiaries in more than 20 countries, including Crate & Barrel (USA), Otto.de (Germany) and 3 Suisses (France). We are selling millions of products worldwide every day, with several thousand products being added to our product line. A consistent analysis of the performance of our products is crucial. However, due to our diverse global infrastructure, many identical products get classified differently. Therefore, the quality of our product analysis depends heavily on the ability to accurately cluster similar products. The better the classification, the more insights we can generate about our product range. 2nd iteration For this competition, we have provided a dataset with 93 features for more than 200,000 products. The objective is to build a predictive model which is able to distinguish between our main product categories. The winning models will be open sourced.

panacea-csgy6053

My solutions for the Assignments for the course - Foundations of Data Science - CS-GY-6053 Contains- Task Page, Solution Codes for reference Fall-2021- New York University.

panacea-csgy6513

My solutions for the Assignments for the course -Big Data Analysis - CS-GY-6513 Contains- Task Page, Solution Codes for reference Fall-2021- New York University.

panacea-csgy6643

My solutions for the Assignments for the course - Computer Vision - CS-GY-6643 Contains- Task Page, Solution Codes for reference Spring-2021- New York University.

panacea-csgy9223

My solutions for the Assignments for the course - Cloud Computing - CSGY 9223 Contains- Task Page, Solution Codes for reference Fall-2021- New York University

picpiper

Project of Smart Photo Album designed during the course of Cloud Computing at NYU

pong-p5.js

ping pong ball game using p5.js framework

pruthviraj98

public-work-department-tender-management-system-pwdtms-

This system can be used for opening a tender for submission. Builders can check the tender details, submit a tender, view results, evaluation process. PWD can open a tender, evaluate attender, compare tenders submitted and generate reports. Completion of work can also be traced from the system

rain_australia

Predict whether or not it will rain tomorrow by training a binary classification model on target RainTomorrow