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algotradingnse

A project that tries to influence buying and selling of stocks using an algorithmic model built using an ensemble of KNN, Decision Tree, Random forest and SVM. The model depicts an ideal scenario for maximizing profits from a trade. A momentum strategy that is used to predict trading signal has been modelled based on a set of rules using various technical indicators

arduino-summer-course

big-data-airline-delay-prediction

Predicting US Airline Delay. Dataset is obtained from "http://stat-computing.org/dataexpo/2009/the-data.html" "https://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID="

big-data-project

Course Project for Big Data(UE18CS322)

compiler-design-2020

A repository for Mini Project of Compiler Design, 6th Sem, Computer Science, PES University.

data-analytics-project

A decision tree based predictive model which predicts the winner of an election. The predictive model is complemented along with Exploratory data analysis.

image-fusion-mri-ct

The objective of image fusion is to combine information from multiple images of the same scene. The result of image fusion is a new image which is more suitable for human and machine perception or further image-processing tasks such as segmentation, feature extraction and object recognition.

intra-indian-bus-transit-system-iibts-

Bus reservation system is one of the most used database system in the world. It is an example of Transaction processing systems. Transaction processing systems are systems with large databases and hundreds of concurrent users executing database transactions. These systems require high availability and fast response time for hundreds of concurrent users.

ipl-data-visualization-with-tableau

live-election-website

A website created using the LAMP framework wherein live elections are held on the website and the results are displayed live. It provides a much easier and faster way to hold private elections.

play-store-analysis-r

The intention of compiling this project is to study and to visualize the effect of various factors on each other. These factors are related to the app downloads on the Google play store. We also try to build a linear model which would be able to predict the effect of one variable on the outcome of another. Through this predictive model we also try to find the relation between the two chosen variables. The two chosen variables here are Ratings of the apps and the number of Reviews made by the user.

weighted-least-squares

In this project we are discussing how, using the power of the weighted least squares approach with linear algebra can help to produce more accurate statistical information that allows for those who are performing analysis of data to make more informed inferences