Python for Data Science Cheat Sheet Keras

OSINT (Open Source Intelligence)

• What is OSINT?: OSINT refers to the collection and analysis of publicly available information from various sources, including social media, forums, blogs, and more.
• Tips for Effective OSINT
• Use relevant keywords to search for specific information
• Utilize social media listening tools to track brand mentions and conversations
• Analyze online forums and discussion boards to gather insights
• Pipeline for OSINT Analysis
• Data Collection: Gather data from various sources using web scraping, API calls, or social media listening tools.
• Data Preprocessing: Clean and preprocess the collected data to remove unnecessary information and convert it into a suitable format.
• Data Visualization: Use visualization tools like Matplotlib, Seaborn, or Plotly to present the data in an engaging manner.

Technical Terms for OSINT

• Text Analysis Techniques:
• N-gram analysis: Analyzing sequences of n items (e.g., word, phrase)
• Part-of-speech tagging: Identifying the grammatical category of each word
• Machine Learning Algorithms for OSINT:
• Naive Bayes: A simple probabilistic classifier
• K-Nearest Neighbors (KNN): Finding the most similar data points to make predictions

Tools and Libraries for OSINT Analysis

• NLP Libraries:
• NLTK (Natural Language Toolkit): A comprehensive library for NLP tasks
• Pandas: A powerful library for data manipulation and analysis
• Data Visualization Tools:
• Matplotlib: A popular plotting library for Python