paris-saclay-cds / data-science-workshop-2019Links
☆29Updated 5 years ago
Alternatives and similar repositories for data-science-workshop-2019
Users that are interested in data-science-workshop-2019 are comparing it to the libraries listed below
Sorting:
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆103Updated 3 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆42Updated 5 years ago
- A Little Book of Python for Multivariate Analysis☆87Updated 9 years ago
- PyParis tutorial on machine learning using scikit-learn☆74Updated last year
- Tutorial for a new versioning Machine Learning pipeline☆80Updated 4 years ago
- Jupyter Notebook presentation for class imbalance in binary classification☆48Updated 7 years ago
- Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing☆27Updated 6 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆269Updated 5 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆135Updated 4 years ago
- Practical Notebooks for the Deep Learning Indaba 2018☆145Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- IPython widgets, interactive plots, interactive machine learning☆151Updated 6 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆51Updated 6 years ago
- Python utilities for Machine Learning competitions☆32Updated 7 years ago
- ☆102Updated 2 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 7 years ago
- Unwrapping decision trees and random forests to make them less of a black box☆62Updated 7 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 6 years ago
- Tips for Advanced Feature Engineering☆53Updated 5 years ago
- Data and Notebook for medium blog post☆20Updated 5 years ago
- ☆74Updated 5 years ago
- Repo for the ML_Insights python package☆152Updated 4 months ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"