bgbg / datascience_dataviz_workshopLinks
Data visualization workshop
☆11Updated 5 years ago
Alternatives and similar repositories for datascience_dataviz_workshop
Users that are interested in datascience_dataviz_workshop are comparing it to the libraries listed below
Sorting:
- ☆11Updated 5 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 7 years ago
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Initial attempt to incorporate some time-series analysis features from hctsa into python land☆28Updated 9 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 4 months ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- ☆23Updated last year
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- Jupyter notebooks for teaching hierarchical Bayesian modelling with Stan☆22Updated 7 years ago
- An example on how Correlation Matrix can be displayed and clustered☆54Updated 5 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 9 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆127Updated 5 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- In which I try to demystify the fundamental concepts behind Bayesian deep learning.☆123Updated 7 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- DataHack Challenges - Challenges offered during our hackathon by top data companies.☆12Updated 5 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- ☆30Updated 7 years ago
- Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hado…☆12Updated 9 years ago
- Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …☆9Updated 7 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Interpretable, intuitive outlier detector intended for categorical and numeric data.☆10Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆25Updated 4 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago