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<div class="grid cards" markdown>
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* <h2>A1: Data Science and Machine Learning</h2>
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- <h4>A1: Data Science and Machine Learning</h4>
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<p>[**Introduction to Data Science and Machine Learning**](mlpaths/A1_Intro_to_DataScience_and_ML.md)
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<p><a href="mlpaths/A1_Intro_to_DataScience_and_ML.md"><b>Introduction to Data Science and Machine Learning</b></a></p>
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<p>Data Science is an interdisciplinary field focused on extracting knowledge and insights from data. Machine Learning (ML), a key component of Artificial Intelligence (AI), enables systems to learn from data to make decisions or predictions.
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<p>Data Science is an interdisciplinary field focused on extracting knowledge and insights from data. Machine Learning (ML), a key component of Artificial Intelligence (AI), enables systems to learn from data to make decisions or predictions.</p>
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* <h2>A2: Python for Data Science</h2>
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- <h4>A2: Python for Data Science</h4>
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<p>**Python's** simplicity, versatility, and vast ecosystem of specialized libraries have made it the cornerstone of modern data science.
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- <h2>A3: Ethical Considerations in Data Science</h2>
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- <h4>A3: Ethical Considerations in Data Science</h4>
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<p>**Ethics**
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- > <h2>A4: Statistical Learning and Regression Models</h2>
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- > <h4>A4: Statistical Learning and Regression Models</h4>
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<p>**Statistics**
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