Titanic_Survival_Prediction_Model

The sinking of the RMS Titanic is one of the most infamous shipwrecks in world history. In this model, need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

Objective: In this model,need to analyse what sorts of people were likely to survive. We also need to apply the tools of machine learning to predict which passengers survived in this tragedy.

Creator: Anandan Raju

Model's Used in this Project:

1. KNeighbors Classifier
2. Decision Tree Classifier
3. Random Forest Classifier
4. Gaussian Naive Bayes
5. Support Vector Classifier
6. Extra Tree Classifier
7. Gradient Boosting Classifier
8. Bagging Classifier
9. Ada Boost Classifier
10. Extra Trees Classifier

Synopsis

1. Import Libraries
2. Reading DataSet
3. Checking Null Set
4. Data Set Dictionary
5. Exploratory Data Analysis
6. Feature Engineering
   6.1 Title
   6.2 Sex
   6.3 Age
7. Binning
   7.1 Age
   7.2 Class
   7.3 Embark
   7.4 Fare
   7.5 Cabin
8. Column Formation
   8.1 Family Size Map
9. Modelling
10. Cross Validation (K-Fold)
11. Confusion Matrix
12. Convert Output into CSV