Jupyter Notebooks holding Data Science projects
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Updated
Apr 16, 2020 - Jupyter Notebook
Jupyter Notebooks holding Data Science projects
Data Science notebooks and datasets
Repository contains notebooks and datasets on no. of flights departures, passengers flew, flights crashed etc.
notebooks/Aula_001_Séries_Temporais_(Time_Series)_Parte_1.ipynb
Contains notebooks and datasets to tune the evaulation weights in SoFCheck
Supplementary material (Python, Jupyter notebooks and MATLAB scripts) to arXiv preprint 1903.11815
Homework Notebooks of Art of Analyzing Big Data - The Data Scientist’s Toolbox.
a collection of datasets for the purpose of using along with google colab notebooks
Data analysis of the COVID19 dataset using Jupyter notebook using Numpy pandas, Matplotlib, and Seaborn library.
A collection of python scripts / jupyter notebooks to construct various datasets across NLP and CV topics.
iPython Notebooks, Datasets, Presentations, and other resources for DSoAI Meetups
Explore an extensive repository of publicly accessible personal notebooks on machine learning engineering, data science analytics, artificial intelligence, and more.
This repo is part of a course where we learn how to collect datasets and notebooks from APIs (e.g., Kaggle)
tool or algorithm that aims to condense a longer piece of text into a shorter, concise summary while preserving the key information and main points
Explore and analyze multimodal anti-phishing datasets through comprehensive notebooks, uncovering insights into phishing attempts and legitimate instances. Visualize key statistics and trends, empowering cybersecurity professionals with valuable insights for threat detection and prevention strategies.
Manipulation with Pandas and Jupyter Notebook of two large public food.com datasets containing cooking recipes and reviews. The objective is to select a subset of 30 unique modern dessert recipes for a future food website.
Our goal is to train a classifier that can predict the CEFR level of any given sentence. In this notebook we will use 🤗Hugging Face and its transformers library as the training framework, with Pytorch as the deep learning backend.
This GitHub repository hosts the notebooks and tools developed as part of this thesis to automate the extraction, processing, and analysis of data from the MICCAI 2023 conference, aiding in the systematic review and providing a structured foundation for further research in this crucial area.
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