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

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.

Describe the features of Jupyter Notebook.

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