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2019ncov_proportion_asym

50projects50days

50+ mini web projects using HTML, CSS & JS

advbayeslearncourse

Course material for the PhD course Advanced Bayesian Learning at Linköping University

advmlcourse

Course repo for Advanced Machine Learning Course at Linköping University

advrcourse

Course in advanced R programming

awesome-data-engineering

A curated list of data engineering tools for software developers

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bayeslearncourse

Course material for Bayesian Learning (Master and PhD level) at Linköping university

bokeh

Interactive Web Plotting for Python

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

caffo-coursera

A repository of my Coursera latex code and notes

character-recognition-fastai

ResNet50 model base on fastai framwork for ICDAR 2019 ReCTS competition

classroom

GitHub Classroom automates repository creation and access control, making it easy for teachers to distribute starter code and collect assignments on GitHub.

clusteranalysisusingr

ClusterAnalysisForDataMining

complete-guide-to-elasticsearch

Contains all of the queries used within the Complete Guide to Elasticsearch course.

computerlabs

Documentation about the computer labs

coursera_capstone

Applied Data Science Capstone

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

cov_seasonality

Model coronavirus seasonality and explore consequences for nCoV dynamics

covid-19-eda-tutorial

Currently work in progress. This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

data-science-in-tidyverse

Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datasciencecoursera

datascienceexperiments

A collection of data science projects and experiments

datasetcollections

datasharing

The Leek group guide to data sharing

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-residual-networks

Deep Residual Learning for Image Recognition

developerworks

developing_data_products

Developing Data Products Course from the Johns Hopkins Data Science Lab