Pinned Repositories
Accident-Detection-Response-System
Final Year Project
BooksHelp
Smart Gujarat For New India Hackathon :
bookshelp.github.io
CMS
Task Management System
Fake-Product-Identification
Fake Product Identification using Blockchain
FindingLinksMotherEduChildHealthWealth
In this project we analyzed the National Family Health Survey Data of Children under age five whose mother's were interviewed. It contains information about the child's immunnization, health and nutrition data. Also the data for mother of each of these children included.
flask-2048
InterviewBit-Topicwise-Solutions
The repository contains solutions to various problems on interviewbit. The code is merely a snippet (as solved on InterviewBit) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.
jainilpanchal2000
Config files for my GitHub profile.
NSL-KDD
jainilpanchal2000's Repositories
jainilpanchal2000/Accident-Detection-Response-System
Final Year Project
jainilpanchal2000/BooksHelp
Smart Gujarat For New India Hackathon :
jainilpanchal2000/bookshelp.github.io
jainilpanchal2000/CMS
Task Management System
jainilpanchal2000/Fake-Product-Identification
Fake Product Identification using Blockchain
jainilpanchal2000/FindingLinksMotherEduChildHealthWealth
In this project we analyzed the National Family Health Survey Data of Children under age five whose mother's were interviewed. It contains information about the child's immunnization, health and nutrition data. Also the data for mother of each of these children included.
jainilpanchal2000/flask-2048
jainilpanchal2000/InterviewBit-Topicwise-Solutions
The repository contains solutions to various problems on interviewbit. The code is merely a snippet (as solved on InterviewBit) & hence is not executable in a c++ compiler. The code written is purely original and completely my own.
jainilpanchal2000/jainilpanchal2000
Config files for my GitHub profile.
jainilpanchal2000/NSL-KDD
jainilpanchal2000/predicting_bitcoin_market
Predict bitcoin values using social sentiments (e.g. news and reddit posts)