一个项目专注于使用Python抓取毛里塔尼亚牌照汽车的图像。scraping_notebook.ipynb包含用于收集图像的代码和过程。该数据集将用于开发深度学习模型，以识别毛里塔尼亚车牌。欢迎捐款！
A project focused on scraping images of cars with Mauritanian license plates using Python. The scraping_notebook.ipynb contains the code and procedure for collecting images. This dataset will be used for developing a deep learning model to recognize Mauritanian license plates. Contributions are welcome! (2024-06-16, Jupyter Notebook, 0KB, 下载0次)
详细的探索性数据分析（EDA），以确定影响汽车价格的关键特征。这涉及使用单变量、双变量和多变量技术收集、清理和分析数据，以发现重要的模式。目标是确定影响汽车价格的主要因素，并提供可操作的见解。
A detailed Exploratory Data Analysis (EDA) to identify key characteristics that impact car prices. This involves collecting, cleaning, and analyzing data using univariate, bivariate, and multivariate techniques to uncover significant patterns. The goal is to determine the main factors influencing car prices and provide actionable insights. (2024-06-10, Jupyter Notebook, 0KB, 下载0次)
该存储库包含基于CodeCademy及其合作伙伴NLTK Toolkit语料库......的数据集进行的教育项目...，
This repository contains educational projects that were conducted based on datasets of CodeCademy and its partners, NLTK Toolkit Corpus, Kaggle, UCI’s Machine Learning Repository, Scikit-Learn example datasets. The purpose of each is to practice individual studying modules and consolidate the result as an active professional skill (2023-06-28, Jupyter Notebook, 0KB, 下载0次)