Expanding Titanic's Horizons: 1M Passenger Dataset !!!

In response to the enduring interest and utility of the Titanic Dataset, a synthetic counterpart has been created, mirroring the original dataset's statistics and correlations while significantly expanding its scale. Comprising information on one million passengers (1M), this synthetic dataset offers a unique opportunity to delve deeper into the intricacies of the Titanic's passenger manifest, allowing for more robust and comprehensive analyses.

The primary objective of this dataset remains consistent with its predecessor: to predict whether a passenger survived or perished in the disaster, thus framing it as a binary classification task. However, the increased size and scope of this synthetic dataset present novel challenges and opportunities for exploration across a spectrum of data-related disciplines, including:

• Exploratory Data Analysis (EDA)
• Data Cleaning
• Data Visualization
• Machine Learning
• Deep Learning

It is important to mention that this larger dataset preserves the original structure, statistics, and correlations.

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