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The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.This data science project will give you introdcution on how to use Python to apply various machine learning techniques to the RMS Titanic dataset and predict which passenger would have survived the tragedy.
In this project, we are going to predict how capable each applicant is repaying a loan.
In this data science project, we will predict internal failures of Bosch using thousands of measurements and tests made for each component along the assembly line.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.