这是一个Retrival Agumented Genration（RAG）项目，作为您的个性化网络研究合作伙伴。该项目将通过进行相关的网络搜索来提取、分析和总结信息，作为对您问题的回答
This is a Retrival Agumented Genration (RAG) project that works as you personalized web research partner. The project will pull , analyze, and summarize infromation as answer to you questions by making relevent web searches (2024-07-11, Jupyter Notebook, 0KB, 下载0次)
创建了一个RNN LSTM模型，该模型预测了体育、娱乐、政治等新闻文章的类别。还使用了词干化、柠檬化和关键词删除的概念。
Created a RNN LSTM model which predicts the category of the news articles be it sports, entertainment, politics etc. The concept of Stemming, Lemmatization and stopword removal were used as well. (2024-02-19, Jupyter Notebook, 0KB, 下载0次)
梅尔特·伊尔迪兹·内洛·卡斯塔尔多·卢卡·阿维塔比尔
Mert YILDIZ Nello Castaldo Luca Avitabile (2021-03-18, Jupyter Notebook, 34KB, 下载0次)
与SEO团队合作，对产品类别性能进行数据分析。使用排名数据、业务数据和...
Ran data analysis on product category performance in collaboration with SEO team. Using Rank Data, Business Data and Organic CTR created monthly reports to lay emphasis on focus areas and to improve performance for coming months. Calculated near term ROI on basis of estimates for revenue and keyword ranks using the Pandas and Numpy libraries in ... (2018-11-20, Jupyter Notebook, 3KB, 下载0次)