Overview
Curriculum
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 further analysis, modeling, or visualization by ensuring that it is accurate, consistent, and relevant.
Courses you might be interested in
This module is designed to equip us with the foundational programming knowledge and theory needed to excel in the bootcamp. By covering essential Python concepts and tools, it helps us...
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12 Lessons
$100.00
In this module, you will explore the world of large language models (LLMs), including their components, how they process information, and the challenges of adopting them in enterprise settings. You...
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7 Lessons
$100.00
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
In this module, you will explore the fundamentals of prompt engineering, including key concepts like in-context learning, designing effective prompts, and using various prompting techniques. You will learn how to...
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12 Lessons
$100.00