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Advanced_Data_Analytics_Using_Python_With_Machine_Learning,_Deep.pdf
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Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Example.pdf

What You Will Learn
+ Work with data analysis techniques such as classification, clustering, regression, and forecasting
+ Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL
+ Examine the different big data frameworks, including Hadoop and Spark
+ Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP



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Advanced Data Analytics Using Python With Machine Learning, Deep Learning and NLP Example.pdf

What You Will Learn
+ Work with data analysis techniques such as classification, clustering, regression, and forecasting
+ Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL
+ Examine the different big data frameworks, including Hadoop and Spark
+ Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP

BY Python 🐍 Work With Data


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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.

The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.

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