👉🏻NumPy: This library is used for scientific computing and working with arrays of data. It provides functions for working with arrays of data, including mathematical operations, linear algebra, and random number generation.
👉🏻Pandas: This library is used for data manipulation and analysis. It provides tools for importing, cleaning, and transforming data, as well as tools for working with time series data and performing statistical analysis.
👉🏻Matplotlib: This library is used for data visualization. It provides functions for creating a wide range of plots, including scatter plots, line plots, bar plots, and histograms.
👉🏻Scikit-learn: This library is used for machine learning. It provides a range of algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model evaluation and selection.
👉🏻TensorFlow: This library is used for deep learning. It provides a range of tools and libraries for building and training neural networks, including support for distributed training and hardware acceleration.
👉🏻NumPy: This library is used for scientific computing and working with arrays of data. It provides functions for working with arrays of data, including mathematical operations, linear algebra, and random number generation.
👉🏻Pandas: This library is used for data manipulation and analysis. It provides tools for importing, cleaning, and transforming data, as well as tools for working with time series data and performing statistical analysis.
👉🏻Matplotlib: This library is used for data visualization. It provides functions for creating a wide range of plots, including scatter plots, line plots, bar plots, and histograms.
👉🏻Scikit-learn: This library is used for machine learning. It provides a range of algorithms for classification, regression, clustering, and dimensionality reduction, as well as tools for model evaluation and selection.
👉🏻TensorFlow: This library is used for deep learning. It provides a range of tools and libraries for building and training neural networks, including support for distributed training and hardware acceleration.
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.
Among the actives, Ascendas REIT sank 0.64 percent, while CapitaLand Integrated Commercial Trust plummeted 1.42 percent, City Developments plunged 1.12 percent, Dairy Farm International tumbled 0.86 percent, DBS Group skidded 0.68 percent, Genting Singapore retreated 0.67 percent, Hongkong Land climbed 1.30 percent, Mapletree Commercial Trust lost 0.47 percent, Mapletree Logistics Trust tanked 0.95 percent, Oversea-Chinese Banking Corporation dropped 0.61 percent, SATS rose 0.24 percent, SembCorp Industries shed 0.54 percent, Singapore Airlines surrendered 0.79 percent, Singapore Exchange slid 0.30 percent, Singapore Press Holdings declined 1.03 percent, Singapore Technologies Engineering dipped 0.26 percent, SingTel advanced 0.81 percent, United Overseas Bank fell 0.39 percent, Wilmar International eased 0.24 percent, Yangzijiang Shipbuilding jumped 1.42 percent and Keppel Corp, Thai Beverage, CapitaLand and Comfort DelGro were unchanged.
