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Lecture content for Intro to Data Science 2018
This repository contains graded assignments in python-3 language of the course 'Applied text mining in Python', part of the specialisation 'Applied data Science using Python' by University of Michigan offered by Coursera.
Automatic detection of plant diseases
Density valley clustering (cluserdv). Matlab implementation.
This project is an attempt at performing color quantization using K-Means clustering. We also add our own touch by trying a different initialization strategy for the cluster centroids and qualitatively compare our results.
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Pretrained BERT model for analysing COVID-19 Twitter data
Analysis of social media conversations surrounding COVID-19 in Singapore
For extensive instructor led learning
Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.
Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.
Sentiment analysis on the tweets about distance learning with TextBlob
wheat ear counting
extreme clustering– A clustering method via density extreme points
Clustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm
Fuzzy clustering based on Forest optimization algorithm in Matlab
Exercises and examples developed for the Hadoop with Python tutorial
Hadoop training material from free MapR courses.
Repository for Hadoop with Python including example source code
K-means algorithm is an unsupervised clustering algorithm that classifies the input data points into multiple classes based on their inherent distance from each other.
Image processing code for blob detection and feature extraction in MATLAB. Paper Reference: Detecting jute plant disease using image processing and machine learning. Find the full text here: http://ieeexplore.ieee.org/document/7873147/
Studies about the UCI's Image Segmentation Dataset
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
This repository contains Ipython notebooks of assignments and tutorials used in the course introduction to data science in python, part of Applied Data Science using Python Specialization from University of Michigan offered by Coursera
This repository contains weekly assignments on implementing NLP algorithms given in the course "Introduction to Natural Language Processing" offered by University of Michigan.
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
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.