Python for Deep Learning - Build Neural Networks in Python - Data Pre-Processing

Python for Deep Learning - Build Neural Networks in Python - Data Pre-Processing

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies, Other

University

Hard

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The video tutorial covers data preprocessing in Python, highlighting the importance of transforming raw data for machine learning. It introduces key Python libraries: Numpy for numerical tasks, Matplotlib for plotting, and Pandas for data manipulation. The tutorial guides viewers on installing Anaconda, a comprehensive data science platform, and setting up Jupyter Notebook, a web-based application for coding and visualization. Finally, it demonstrates how to import essential libraries for a project.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the features of Jupyter Notebook.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the steps to import essential libraries in Python for a project?

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