Sktime Tutorial Pydata Global 2021
Introduction to sktime at the PyData Global 2021
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pydata Chicago2016 Ml Tutorial | 128 | 8 years ago | mit | Jupyter Notebook | ||||||
| Machine learning with scikit-learn tutorial at PyData Chicago 2016 | ||||||||||
| Pyvtreat | 113 |  | 2 | 7 months ago | 42 | September 28, 2023 | 2 | other | Python | |
| vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license. | ||||||||||
| Pymapd | 113 | 3 years ago | n,ull | apache-2.0 | Python | |||||
| Python client for OmniSci GPU-accelerated SQL engine and analytics platform | ||||||||||
| Sktime Tutorial Pydata Amsterdam 2020 | 91 | 3 years ago | bsd-3-clause | Jupyter Notebook | ||||||
| Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020 | ||||||||||
| Pyconde2019 Airflow Ml Workshop | 42 | 2 years ago | 11 | mit | JavaScript | |||||
| PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines. | ||||||||||
| Quant Library | 41 | 5 years ago | mit | Jupyter Notebook | ||||||
| α collection of resources for people interested in quant finance | ||||||||||
| Tales Science Data | 40 | 4 months ago | 77 | mit | Jupyter Notebook | |||||
| WORK UNDER RESTRUCTURING | ||||||||||
| Pydata Amsterdam 2016 | 33 | 8 years ago | cc0-1.0 | Jupyter Notebook | ||||||
| Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016) | ||||||||||
| Awesome Python Videos | 18 | 3 years ago | 1 | mit | ||||||
| Learn and watch python, machine learning, and data science videos from conferences (PyCon, PyData, SciPy, PyBay, EuroPython) | ||||||||||
| Pydata2017 | 16 | 6 years ago | 2 | HTML | ||||||
| This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries | ||||||||||
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