jni / scipy-japan-2019Links
NumPy tutorial given at SciPy Japan 2019
☆42Updated 6 years ago
Alternatives and similar repositories for scipy-japan-2019
Users that are interested in scipy-japan-2019 are comparing it to the libraries listed below
Sorting:
- Advanced Machine Learning with Scikit-learn part I☆144Updated 5 years ago
- Numpy-Tutorial-SciPyConf-2019☆100Updated 3 years ago
- Experimenting with and teaching probabilistic programming☆107Updated 3 years ago
- Deep Learning from Scratch with PyTorch☆121Updated 5 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆314Updated 5 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆547Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- Pandas tutorial for SciPy 2019☆102Updated 2 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆280Updated 7 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆576Updated 5 years ago
- Materials for "Parallelizing Scientific Python with Dask"☆70Updated 7 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆138Updated 5 years ago
- Notebooks for tutorial on Numpy.☆59Updated 6 years ago
- An easy to use waterfall chart function for Python☆164Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆501Updated 7 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆129Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Some fundamental machine learning and data-analysis techniques are explained through realistic examples.☆123Updated last year
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆372Updated 4 years ago
- TensorFlow - A curated list of dedicated resources http://tensorflow.org☆85Updated 8 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆347Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- 📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines☆161Updated 3 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆357Updated 5 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 7 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆782Updated 5 years ago
- Mastering Machine Learning Algorithms Second Edition, published by Packt☆65Updated 4 years ago