This repository include my B.tech projects.
1.)Crime Prediction : (May 1 2018 to June 10 2018) ◦ The aim of this project to determine the type of crime. The dataset has been downloaded from the Kaggle ( https://www.kaggle.com/c/sf-crime ) and programming used in python. The ide or tools which I used for the project is google colaboratory and jupyter. Google colaboratory is an online tool I used this tool to train my model in the cloud. ◦ Model is trained in cloud and the accuracy is 96.7%
2.)• Student Performance Prediction : (March 3 2018 to April 10 2018) ◦ At this technical project, I predict the student performance. The Dataset has been download from the UCI website (https://archive.ics.uci.edu/ml/datasets/student+performance). This Dataset has 33 Attribute and this is a regression problem. ◦ The tool which used for this project is orange.
3.)• Central Repository System in Socket Programming in C : (December 2 2017 to March 1 2018) ◦ At this technical project, we made the Central server in which any client can upload the file for sharing and also download the other user file. ◦ For handling the multiple users we use POSIX thread inc. To send data over the socket we use system calls. ◦ At Server, there is a repository file which contains the list of all the file that present in the server. Whenever users upload the file Server update this repository file at runtime.
4.)• Air Quality : (September 14 2017 to October 10 2017) ◦ At this technical project, I predict the amount of C6H6 in the air. The dataset has been download from the UCI (https://archive.ics.uci.edu/ml/datasets/Air+quality). ◦ This is a regression problem and the tool used for this project is python and orange.