Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting insights with Python.pdf
π· Understand the importance of data literacy and how to communicate effectively using data π· Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis π· Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets π· Discover relationships and how to join data together using SQL π· Use NLP techniques to work with unstructured data to create sentiment analysis models π· Discover patterns in real-world datasets that provide accurate insights
Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting insights with Python.pdf
π· Understand the importance of data literacy and how to communicate effectively using data π· Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis π· Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets π· Discover relationships and how to join data together using SQL π· Use NLP techniques to work with unstructured data to create sentiment analysis models π· Discover patterns in real-world datasets that provide accurate insights
BY Python π Work With Data
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In many cases, the content resembled that of the marketplaces found on the dark web, a group of hidden websites that are popular among hackers and accessed using specific anonymising software.βWe have recently been witnessing a 100 per cent-plus rise in Telegram usage by cybercriminals,β said Tal Samra, cyber threat analyst at Cyberint.The rise in nefarious activity comes as users flocked to the encrypted chat app earlier this year after changes to the privacy policy of Facebook-owned rival WhatsApp prompted many to seek out alternatives.
Telegram has exploded as a hub for cybercriminals looking to buy, sell and share stolen data and hacking tools, new research shows, as the messaging app emerges as an alternative to the dark web.An investigation by cyber intelligence group Cyberint, together with the Financial Times, found a ballooning network of hackers sharing data leaks on the popular messaging platform, sometimes in channels with tens of thousands of subscribers, lured by its ease of use and light-touch moderation.Python Work With Data from no