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Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.
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Jan 16, 2023 - Jupyter Notebook
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
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Nov 9, 2022 - Jupyter Notebook
A deep learning and image processing project used to predict the emotions of a person in image.
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Sep 11, 2020 - Jupyter Notebook
Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
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Jan 14, 2025 - Jupyter Notebook
This is an example of how to use Python and Jupyter Notebook to explore a given dataset.
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Oct 19, 2022 - Jupyter Notebook
Stress classifier with AutoML
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May 10, 2019 - HTML
Kaggle을 처음 접하는 사람들을 위한 문서
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Jan 8, 2021
A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks
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May 4, 2018 - Jupyter Notebook
Deep attention fabric for artificial text and character generation
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Oct 21, 2020 - Python
A jupyter notebook to visualise and analysis data on a ED pilot installation that is treating a salt solution with humic acid
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May 13, 2021 - Jupyter Notebook
Deploy and Serve Model using Azure Databricks, MLFlow and Azure ML deployment to ACI or AKS
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Aug 30, 2020 - Jupyter Notebook
Processing OpenCitations Data
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Aug 17, 2017 - Jupyter Notebook
The jupyter notebooks provided in this project while being based on IIIF repositories, extract metadata and images, creating a CSV file representing the dataset as a result. These are examples of exploitation that can serve as a basis for further development.
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Nov 26, 2023 - Jupyter Notebook
Colab Notebooks for SEM image Classification
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Oct 17, 2020 - Jupyter Notebook
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Sep 27, 2019 - Jupyter Notebook
This project includes several notebooks to exploit GLAM datasets that contain text and metadata.
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Sep 29, 2021 - Jupyter Notebook
For someone who is new at Kaggle
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Jan 7, 2021
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