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Built a Recommendation Engine which recommends, courses for students and important feedback to Universities.
Risk profile analysis of a tradin bot deployed in a crypto exchange
Shiny app to demo basics of text analysis and visualisation
Education Explorer is a recommendation engine that uses recommendation algorithm and data mining techniques to finds the college that’s right for you. It is an android as well as a web application that guides the client on choosing the right college and course according to client’s requirements and field. This app will let you find the best college in any particular filtered by city having ranks based on their placements and college facilities and quality of education
A Shiny app for cleaning CSV data that uses Levenshtein distances for approximate string matching
Functions and examples of how to search and download from google search engine in python3.
U11 Graduate Recommendation System - an application for international students to find the best colleges.
Identify the top performing players in R to build a dream team for a soccer club by employing classification techniques on 74+ features of player attribute data
R scripts for the Business Analytics project. The topic of this project is: "Prediction of the housing prices in Melbourne, Australia". The predictions are done using several linear regression and decision tree models. On the top of that, the Random Forest model is included, mainly for the comparison with another models.
Movie recommendation system with a knowledge-based approach. Designed as a project for EECS 371 Knowledge Representation & Reasoning at Northwestern University.
Developing a machine learning model that would help in predicting the wages of soccer players.
Tutorial on how to visualize networks in Python
Dynamic Shiny App that creates Word Cloud for any text input
This repo is for students enrolled in Sport Informatics and Analytics at the University of Canberra. It contains data and instructions to complete the Predictive Analytics Report.
This projects aims to predict if a soccer player has participated in his national team or not. The prediction model succeeds a 95.1% f-beta score for training and 87.4% for validation set.
This repository contains my grad-school project for a text analysis app.
A shiny app for text mining
text document summarization based on PageRank/TextRank/Corank
R Shiny app for drag-and-drop textual analysis
👷♂️ A simple package for extracting useful features from character objects 👷♀️
An aid for text mining in R, with a syntax that should be familiar to experienced R users. Provides a wrapper for several topic models that take similarly-formatted input and give similarly-formatted output. Has additional functionality for analyzing and diagnostics for topic models.
Sample code and explanations for doing basic text mining tasks in R
Detect text reuse and document similarity
Recommendation System for Graduate Level Universities in the United States
Develop a Web Application which takes csv, text and excel as an input and perform Data Analysis such as Descriptive statistics, Visualization, Correlation analysis, Simple and Multiple linear Regression analysis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.