Titanic Suvival Analysis

Use the link below to view the Jupyter Notebook. If you have problem loading the entire notebook in the first link, please use the second one.

• Jupyter Viewer
• HTML Viewer
• Source ipython notebook

This is a practice for data science analysis. This is not yet finished but already has all the sections a project should have. I will be updating the jupyter notebook constantly.

The targats for this practice:

• Take this excercise as a preparation for kaggle competitions
• Hands-on experience to data analysis, cleaning and modeling
• Review visual analytic skills (matplotlib and seaborn)
• Use interactive ploting module: plotly (taking a Udemy course now)

Sections:

• Define the problem and understand the data
• Data Cleaning
• Feature Engineering
• Exploratory Data Analysis
  • Single Variable Analysis
  • Multiple Variable Analysis
  • Correlation Analysis
• Model Selection
• Validation
• Model Improvement