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2018-datascience-lectures

Lecture content for Intro to Data Science 2018

2020-datascience-lectures

applied-text-mining-in-python

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-leaf-infection-identifier

Automatic detection of plant diseases

clusterdv

Density valley clustering (cluserdv). Matlab implementation.

color-based-image-segmentation-using-k-means-clustering

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.

coursera-applied-data-science-with-python

Repository for coursera specialization Applied Data Science with Python by University of Michigan

covid-twitter-bert

Pretrained BERT model for analysing COVID-19 Twitter data

covid19-analysis

Analysis of social media conversations surrounding COVID-19 in Singapore

data-science-complete-tutorial

For extensive instructor led learning

deeplearningmaster20192020

densitypeakcluster

Python Code For 'Clustering By Fast Search And Find Of Density Peaks' In Science 2014.

dermnet-images-crawler

Web crawler for DermNet (http://www.dermnet.com/) - one of the greatest data resources for skin diseases.

distance_learning

Sentiment analysis on the tweets about distance learning with TextBlob

earcounting

wheat ear counting

extreme-clustering

extreme clustering– A clustering method via density extreme points

foa-kmeans-color-image-segmentation

Clustering analysis using an evolutionary optimization algorithm based on nature, Forest Optimization Algorithm

fuzzy

fuzzy-clustering-based-on-foa

Fuzzy clustering based on Forest optimization algorithm in Matlab

hadoop-python-tutorial

Exercises and examples developed for the Hadoop with Python tutorial

hadoop-training

Hadoop training material from free MapR courses.

hadoopwithpython

Repository for Hadoop with Python including example source code

image-segmentation-using-k-means

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_for_plant_disease

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/

image_segmentation

Studies about the UCI's Image Segmentation Dataset

information-retrieval

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

introduction-to-data-science-in-python

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

introduction-to-natural-language-processing-umich-coursera

This repository contains weekly assignments on implementing NLP algorithms given in the course "Introduction to Natural Language Processing" offered by University of Michigan.

kdd2019_k-multiple-means

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.