检测假新闻是一个分层的过程，涉及分析新内容，以确定新闻的真实性。
Detecting fake news is a layered process that involves analysis of the new contents to determine the truthfulness of the news. (2023-11-09, Jupyter Notebook, 0KB, 下载0次)
使用python及其各种库（如numpy pandas scikit Learn）的假新闻检测器。。。。等等，
Fake news Detector using python and its various libraries like numpy pandas scikit-Learn ....etc, (2023-08-21, Jupyter Notebook, 0KB, 下载0次)
我们在爱马仕人工智能中心为所有没有计算机科学概念知识的人设计的初学者友好的ML课程。
A beginner friendly ML course designed by us at Hermes AI Center for everyone
with no prior knowledge in computer science concepts.
, (2022-08-31, Jupyter Notebook, 9110KB, 下载0次)
假新闻检测、借助机器学习的假新闻检测，
Fake News Detection with the help of Machine Learning
, (2021-06-05, Jupyter Notebook, 37511KB, 下载0次)
在这个练习中，我使用了Python库——pandas、numpy、matplotlib.pyplot、tweepy、seaborn、datetime、VADER-JSON遍历和Twitter的API，根据来自五个不同新闻组织——BBC、CBS、CNN、Fox news和New York times——的推文，对新闻情绪进行情绪分析。
In this exercise I utilized Python libraries - pandas, numpy,
matplotlib.pyplot, tweepy, seaborn, datetime, VADER - JSON traversals, and
Twitter s API to perform a sentiment analysis on the news mood based on tweets
from five different news organizations - BBC, CBS, CNN, Fox News, and New York
times.
, (2018-05-24, Jupyter Notebook, 203KB, 下载0次)
校园网络教育中心数据科学领域的入门课程，涉及Python语言大数据分析的理论和实践
Introductory course in the field of data science of the cyber education center
at campus il which touches both the theoretical and the practical aspect of
big data analysis in the Python language
, (2023-01-18, Jupyter Notebook, 913KB, 下载0次)
在使用和不使用Networkx Library的python中实现度、接近度、介数和特征向量中心性。创建了一个网络图，其中节点大小相对于节点的特征向量中心。它使用Numpy、Matplotlib、Networkx和itertools库来满足需求。
Implemented degree, closeness, betweenness and eigenvector centrality in
python with and without Networkx Library. Created a network graph, with node
size relative to the eigen vector centralities of the nodes. It uses Numpy,
Matplotlib, Networkx and itertools libraries for fulfilling the requirements.
, (2018-03-28, Jupyter Notebook, 27KB, 下载0次)
LSTM在整合新闻信息的股票数据中的应用。事实证明，金融和政治新闻与股价直接相关。
Application of LSTM on stock data with integration of news info. It turns out
that finance and political news directly relate to the stock prices.
, (2018-12-07, Jupyter Notebook, 4062KB, 下载0次)
使用情绪分析进行股市预测，这是一个深度学习项目（基于巴基斯坦证券交易所和新闻的数据和新闻（黎明新闻））
stock market predictions using sentiment analysis, a deep learning
project(data and news based on pakistani stock exchange and news(Dawn news))
, (2020-10-14, Jupyter Notebook, 4380KB, 下载0次)
技术和情绪分析，基于历史时间序列数据和使用API和网络抓取收集的新闻文章情绪，使用机器学习模型预测股市。
Technical and sentiment analysis to predict the stock market with machine
learning models based on historical time series data and news article
sentiment collected using APIs and web scraping.
, (2022-12-17, Jupyter Notebook, 18423KB, 下载0次)