Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting insights with Python.pdf
🏷 Understand the importance of data literacy and how to communicate effectively using data 🏷 Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis 🏷 Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets 🏷 Discover relationships and how to join data together using SQL 🏷 Use NLP techniques to work with unstructured data to create sentiment analysis models 🏷 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
🏷 Understand the importance of data literacy and how to communicate effectively using data 🏷 Find out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysis 🏷 Wrangle data and create DataFrames using pandas Produce charts and data visualizations using time-series datasets 🏷 Discover relationships and how to join data together using SQL 🏷 Use NLP techniques to work with unstructured data to create sentiment analysis models 🏷 Discover patterns in real-world datasets that provide accurate insights
BY Python 🐍 Work With Data
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Telegram is a cloud-based instant messaging service that has been making rounds as a popular option for those who wish to keep their messages secure. Telegram boasts a collection of different features, but it’s best known for its ability to secure messages and media by encrypting them during transit; this prevents third-parties from snooping on messages easily. Let’s take a look at what Telegram can do and why you might want to use it.
Telegram announces Search Filters
With the help of the Search Filters option, users can now filter search results by type. They can do that by using the new tabs: Media, Links, Files and others. Searches can be done based on the particular time period like by typing in the date or even “Yesterday”. If users type in the name of a person, group, channel or bot, an extra filter will be applied to the searches.
