glemaitre / pyparis-2018-sklearnLinks
PyParis tutorial on machine learning using scikit-learn
☆74Updated last year
Alternatives and similar repositories for pyparis-2018-sklearn
Users that are interested in pyparis-2018-sklearn are comparing it to the libraries listed below
Sorting:
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆42Updated 5 years ago
- Data and Notebook for medium blog post☆20Updated 5 years ago
- ☆29Updated 5 years ago
- Super-Machine-Learning-Revision-Notes☆75Updated 5 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 6 years ago
- MadPy Dask talk materials☆33Updated 6 years ago
- ☆82Updated 3 years ago
- Implementation of different machine learning techniques☆94Updated 7 years ago
- Python Tips for Data Scientist☆26Updated 3 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Feature Engineering Made Easy, published by Packt☆216Updated 2 years ago
- ☆69Updated 5 years ago
- Examples and tutorials to the steppy library☆21Updated 6 years ago
- Tutorial material and instruction for scipy 2018 jupyterlab tutorial☆73Updated 6 years ago
- sciblox - Easier Data Science and Machine Learning☆50Updated 7 years ago
- Development Repository for GPU-accelerated GBDT training☆60Updated 8 years ago
- ☆56Updated 6 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- ☆31Updated 6 years ago
- Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition☆31Updated 6 years ago
- Introduction to Python for Data Science☆39Updated 7 years ago
- This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube☆65Updated 6 years ago
- A repo with tutorials for algorithms from scratch☆99Updated 7 years ago
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 5 years ago
- 基于sklearn，强化Pipeline和FeatureUnion两个类。对FeatureUnion类，使其支持部分数据处理；对两者，增加特征转换行为记录的功能。☆29Updated 8 years ago
- Lightweight, Python library for fast and reproducible experimentation☆136Updated 6 years ago
- Solution to Kaggle's PLAsTiCC Astronomical Classification Competition☆51Updated 6 years ago