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πŸ”΄ Comprehensive course on "Data Mining"
πŸ–₯ Carnegie Mellon University, USA


πŸ‘¨πŸ»β€πŸ’» Carnegie University in the United States has come to offer a free #datamining course in 25 lectures to those interested in this field.

◀️ In this course, you will deal with statistical concepts and model selection methods on the one hand, and on the other hand, you will have to implement these concepts in practice and present the results.

◀️ The exercises are both combined: theory, #coding, and practical.πŸ‘‡


β”Œ πŸ₯΅ Data Mining
└⏯️ Course Homepage

πŸ’― BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
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πŸ”΄ Comprehensive course on "Data Mining"
πŸ–₯ Carnegie Mellon University, USA


πŸ‘¨πŸ»β€πŸ’» Carnegie University in the United States has come to offer a free #datamining course in 25 lectures to those interested in this field.

◀️ In this course, you will deal with statistical concepts and model selection methods on the one hand, and on the other hand, you will have to implement these concepts in practice and present the results.

◀️ The exercises are both combined: theory, #coding, and practical.πŸ‘‡


β”Œ πŸ₯΅ Data Mining
└⏯️ Course Homepage

πŸ’― BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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Python | Machine Learning | Coding | R Telegram | DID YOU KNOW?

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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.

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.

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Telegram Python | Machine Learning | Coding | R
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