Predicting-Titanic-Survivors

Source: National Geographic

This notebook is a simple example of titanic Disaster in python. It is a Kaggle Competition, Titanic: Machine Learning from Disaster. It is good for those who are going into the field of Machine learning, Data Analysis or simple introduction to the Kaggle Prediction competition.

Dependencies

1. pandas.
2. numpy.
3. matplotlib.
4. math.
5. sklearn.
6. scipy.

This notebook tells us how to :

1. Import the data.
   
2. Describe the data.
   
3. Clean the data.
   
4. Visualize it's features.
   
5. Select features.
   
6. Apply Machine Learning Algorithm, like Random Forest, Support Vector Machine, Logistic Regression, Gradient Boosting Classifier, and evaluate its model's accuracy, using confusion matrix.
   
7. Apply Machine Learning Algorithm from scratch, like Logistic regression, to Titanic Dataset.
   
8. Prepare the predicted data for Kaggle Submission.