Pinned Repositories
best-repo-ever
Bus_Tracking_App
Bus tracking Android Application for School implementation. Parents are 5 minutes prior to their child's arrival on the bus stop. A real time tracking system to update live location of the bus. Strong back-end management using Parse.com
first-app
this is about little program adding two number
github-slideshow
A robot powered training repository :robot:
Hello-World
the repository contain the hello world program
library-management-system
the student can take book from librian and libraian have the data about book and student
mmj2
mmj2 GUI Proof Assistant for the Metamath project
Salesforce-Project
test
TwitterAnalyser
Twitter Tweet Sentiment Analyser. Uses Naive Bayes Classifier to classify tweets into positive or negative categories. The live tweets are downloaded from the Twitter Streaming API service. Two text files positive.txt and negative.txt respectively containing ~10,000 tweets are loaded on the device. The classifier learns on them as the app starts. Thereafter one can use a search term to collect live tweets and classify them.
Sourabh42's Repositories
Sourabh42/best-repo-ever
Sourabh42/Bus_Tracking_App
Bus tracking Android Application for School implementation. Parents are 5 minutes prior to their child's arrival on the bus stop. A real time tracking system to update live location of the bus. Strong back-end management using Parse.com
Sourabh42/first-app
this is about little program adding two number
Sourabh42/github-slideshow
A robot powered training repository :robot:
Sourabh42/Hello-World
the repository contain the hello world program
Sourabh42/library-management-system
the student can take book from librian and libraian have the data about book and student
Sourabh42/mmj2
mmj2 GUI Proof Assistant for the Metamath project
Sourabh42/Salesforce-Project
Sourabh42/test
Sourabh42/TwitterAnalyser
Twitter Tweet Sentiment Analyser. Uses Naive Bayes Classifier to classify tweets into positive or negative categories. The live tweets are downloaded from the Twitter Streaming API service. Two text files positive.txt and negative.txt respectively containing ~10,000 tweets are loaded on the device. The classifier learns on them as the app starts. Thereafter one can use a search term to collect live tweets and classify them.