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TITANIC SURVIVAL PREDICTION

Titanic Survival Prediction using ML and Python ๐Ÿ“Š

๐Ÿ“Œ This project work given by Asterisc Technocrat has been successfully completed. "Titanic Survival Prediction" is very interesting and informative project. The sinking of the Titanic is one of the most infamous wrecks in history. On April 15, 1912, during her maiden voyage, the RMS Titanic, widely considered โ€œunsinkableโ€, sank after hitting an iceberg.

๐Ÿ“Œ The competition task was to use machine learning to create a model that predicts โ€œWhat types of people were more likely to survive?โ€ used passenger data (i.e. name, age, sex, socio-economic class, etc.).

Workflow stages:

๐Ÿ“Œ The competition solution workflow goes through seven stages,

  1. Question or problem definition
  2. Wrangle, prepare, cleanse the data
  3. Exploratory Data Analysis
  4. Acquire training and testing data
  5. Model, predict and solve the problem

๐Ÿ“Œ In this, The highest model accuracy for the testing data is achieved with the Random Forest & Gradient boosting classifier model, it also predicted the survival numbers for the testing set with a score of 84.26%.

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