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2015

Public material for CS109

30daymapchallenge

🌍 My contributions to the #30DayMapChallenge 2019

30daymapchallenge-1

scripts and material for my contributions to the 30DayMapChallenge

30daymapchallenge-bot

Monitoring #30DayMapChallenge on Twitter

30daymapchallenge_2021

Repository for #30DayMapChallenge - 2021

aircraft-project

Projects Visualisation Aircraft Data routes and others

algorithms

Minimal examples of data structures and algorithms in Python

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

awesome-deep-community-detection

Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction _for_contribution.pdf} file.

awesome-geospatial

Long list of geospatial tools and resources

awesome-learn-datascience

:chart_with_upwards_trend: Curated list of resources to help you get started with Data Science

awesome-mobility-machine-learning-contents

Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)

awesome-network-analysis

A curated list of awesome network analysis resources.

awesome-public-datasets

An awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesome-r-dataviz

Curated resources about Data Visualization, Drawing & Publishing in R

awesome-transit

Community list of transit APIs, apps, datasets, research, and software :bus::star2::train::star2::steam_locomotive:

beautiful-visualization-with-python

python数据可视化之美

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

book-2020-spatial-analysis-methods-and-practice

Spatial analysis methods and practice: Describe, explore, and explain

ce599-s17

CE599-002 Data Science for Transportation - Spring 2017

cluster-analysis

An introduction to Cluster Analysis and the K-Means clustering technique.

clusterpy

Library of spatially constrained clustering algorithms

colabgeopython

content

Official content for Harvard CS109

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

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.