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Comprehensive, and hands-on courses to level up in data science.
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Courses Popular
Data scraping refers to the process of extracting data from websites or other sources using automated tools or scripts. The scraped data can then be analyzed and used for various...
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7 Lessons
Free
In this module, you will explore key concepts of transformer architecture, embeddings, attention mechanisms, and tokenization. You’ll gain a deeper understanding of semantic similarity and how it is calculated using...
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5 Lessons
$100.00
Learn the fundamentals of REST APIs and master techniques for making, parsing, and authenticating HTTP requests. This course covers key concepts such as rate limiting, HTTP methods, and the importance...
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9 Lessons
Free
Prompt Engineering for Everyone is designed to provide you with a comprehensive understanding of how to effectively interact with large language models (LLMs) by crafting well-structured prompts. Through an exploration...
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80 Lessons
$100.00
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Data visualization is the graphical representation of data and information. It is the process of creating visual displays of data and information, often in the form of charts, graphs, maps,...
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22 Lessons
Free
Data enrichment is the process of enhancing, refining, and improving raw data by adding more information to it from external sources. This can include adding additional fields, filling in missing...
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15 Lessons
Free
Data cleaning is the process of identifying and correcting or removing errors, inconsistencies, and irrelevant information from a dataset. The goal of data cleaning is to prepare the data for...
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15 Lessons
Free
Data validation is the process of ensuring that data is accurate, complete, and consistent. It involves verifying that data meets certain criteria, such as data type, value range, and formatting...
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26 Lessons
Free
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CEO & Co-founder, WhyLabs
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Data Scientist, Nationwide
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Manager of Data Science, Nestle
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