ericmjl / scikit-learn-tutorialLinks
☆14Updated 9 years ago
Alternatives and similar repositories for scikit-learn-tutorial
Users that are interested in scikit-learn-tutorial are comparing it to the libraries listed below
Sorting:
- Materials for the R Programming Workshop that I teach at The University of Chicago☆34Updated 10 years ago
- Biostatistics 301: Introduction to Statistical Computing☆82Updated 7 years ago
- Tips and tricks for plotting in python☆28Updated 7 years ago
- solutions for problems at http://rosalind.info/☆12Updated 9 years ago
- An experimental deep learning & genotype network-based system for predicting new influenza protein sequences.☆36Updated 2 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- ☆20Updated 11 years ago
- Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see…☆33Updated 7 years ago
- notes from my 302 class on Bayesian methods and principles of statistics☆28Updated 4 years ago
- Machine learning on electronic health records☆11Updated 8 years ago
- Shirin's playgRound - exploring and playing with data in R☆18Updated 6 years ago
- ☆15Updated 9 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 11 years ago
- This repo is for building Docker containers for RStudio, PostgreSQL, Hadoop, Spark, etc.☆22Updated 4 years ago
- Hive Plots in using Python & matplotlib!☆71Updated 7 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 5 months ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Network inference by fusing data from diverse distributions☆14Updated 9 years ago
- This project will adapt sentiment analysis techniques to analysis of claims in scientific literature.☆17Updated 14 years ago
- [Under development] Random classification and regression trees☆17Updated 10 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- python convenience functions for working with Stan models (via pystan)☆13Updated 8 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- R package to visualize mapping structures of random forests with feature contributions☆41Updated 4 years ago
- Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab☆73Updated 8 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Dynamic statistical comparisons in R☆17Updated 7 years ago
- Restricted Boltzmann Machines in R☆36Updated 5 years ago
- Code and data for "The Geometry of Classifiers"☆26Updated 5 years ago