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MARVEL AIML Level 1 Tasks Report (Monthly)
20 / 3 / 2025
Nithish N S - AIML Level 1 Tasks Report
TASK 1: Numpy
I used numpy for efficient array manipulation, including repeating , reshaping , and generating sequences. The shape function retrieves array dimensions, while the prod(shape) computes total elements for reshaping and arange() creates a sequential array. Numpy improves speed, memory efficiency, and eliminates the need for loops.
TASK 2: Matplotlib and Data Visualisation
I used matplotlib for quick and flexible data visualization. It helps create simple plots, like line and bar charts, with full control over labels, colors, and legends. It integrates well with numpy and forms the base for advanced libraries like seaborn. My key learning is that matplotlib is great for basic plotting, while seaborn enhances aesthetics and statistical insights.
