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ARTIFICIAL INTELLIGENCE LAB (LCAI346G)LABORATORY MANUAL B.Tech. Semester VIARTIFICIAL INTELLIGENCE LABSubject code: LCAI346GPrepared by:Checked by:Approved by:Dr Ritu PahwaDr Ritu PahwaName : Prof.
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Understand the problem or task that needs to be solved with data science techniques.
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Programming for data science refers to the use of programming languages and tools to analyze and interpret large sets of data, create algorithms, and build data-driven solutions.
Individuals or organizations involved in data science projects, including data analysts, data scientists, and companies that handle data analysis and reporting, are typically required to file programming for data science.
To fill out programming for data science, individuals should gather necessary data, use coding practices to structure and analyze the data effectively, and document their findings and methodologies accurately in a format suitable for reporting.
The purpose of programming for data science is to transform raw data into actionable insights, enabling informed decision-making and to automate data processing and analysis tasks.
The report typically must include data sources, analysis techniques used, findings, code snippets, visualizations, and any models developed during the data science project.
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