Data analysis with Python a modern approach by Taieb, David.epub
Key Features + Bridge your data analysis with the power of programming, complex algorithms, and AI + Use Python and its extensive libraries to power your way to new levels of data insight + Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series + Explore this modern approach across with key industry case studies and hands-on projects
What you will learn + A new toolset that has been carefully crafted to meet for your data analysis challenges + Full and detailed case studies of the toolset across several of today's key industry contexts + Become super productive with a new toolset across Python and Jupyter Notebook + Look into the future of data science and which directions to develop your skills next
Data analysis with Python a modern approach by Taieb, David.epub
Key Features + Bridge your data analysis with the power of programming, complex algorithms, and AI + Use Python and its extensive libraries to power your way to new levels of data insight + Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series + Explore this modern approach across with key industry case studies and hands-on projects
What you will learn + A new toolset that has been carefully crafted to meet for your data analysis challenges + Full and detailed case studies of the toolset across several of today's key industry contexts + Become super productive with a new toolset across Python and Jupyter Notebook + Look into the future of data science and which directions to develop your skills next
BY Python 🐍 Work With Data
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The messaging service and social-media platform owes creditors roughly $700 million by the end of April, according to people briefed on the company’s plans and loan documents viewed by The Wall Street Journal. At the same time, Telegram Group Inc. must cover rising equipment and bandwidth expenses because of its rapid growth, despite going years without attempting to generate revenue.
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.“We have recently been witnessing a 100 per cent-plus rise in Telegram usage by cybercriminals,” 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.Python Work With Data from in
