Pinned Repositories
data-science-track
Repository for the data science track
2014_fall_ASTR599
Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
charite-seminar-2018-03-28
Showcase of R within one hour :-)
diplomado-internacional-GIRH
Metodología para análisis de anomalías mensuales de precipitación usando Python
floweaver
View flow data as Sankey diagrams
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
NIWA_Python_seminars
A series of IPython notebooks on Python for data analysis geared towards environmental sciences
python-FU-class
Python Class at FU Berlin
workshop-data-science-CODE
Materials for a hands-on workshop on data science
eotp's Repositories
eotp/diplomado-internacional-GIRH
Metodología para análisis de anomalías mensuales de precipitación usando Python
eotp/python-FU-class
Python Class at FU Berlin
eotp/floweaver
View flow data as Sankey diagrams
eotp/workshop-data-science-CODE
Materials for a hands-on workshop on data science
eotp/charite-seminar-2018-03-28
Showcase of R within one hour :-)
eotp/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
eotp/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
eotp/dgoev19
Jahrestagung der Gesellschaft für orale Epidemiologie und Versorgungsforschung (DGoEV), 2019
eotp/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
eotp/feather
Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow
eotp/FUKI
Lecture on ML and AI for FU Berlin
eotp/geopython
eotp/geoviews
eotp/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
eotp/kaudruck
eotp/lime
Lime: Explaining the predictions of any machine learning classifier
eotp/lunchtime-science-2018
Repository for the talk on Reproducible Research at Lunchtime Science, Charité Berlin
eotp/machine-learning-specialization
eotp/parallel-tutorial
Parallel computing in Python tutorial materials
eotp/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
eotp/python-ecology-lesson
:page_with_curl: Data Carpentry Python lessons on ecology.
eotp/python-workshop-zmk
Repository of materials for a Python workshop series at Charité Berlin
eotp/scikit-survival
Survival analysis built on top of scikit-learn
eotp/slate
Slate is a Jekyll theme for GitHub Pages
eotp/spacetime-vis
Methods to display time series, spatial and space-time data using R
eotp/tf-dev-summit-tensorboard-tutorial
Code that accompanies my talk at TF Dev Summit 2016
eotp/weightedcalcs
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
eotp/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
eotp/XBUS-506-01.Visual_Analytics
Materials for Georgetown Data Science certificate. http://scs.georgetown.edu/courses/1069/data-sources
eotp/xray
N-D labeled arrays and datasets in Python