Skip to content

The Project predict the customer survived or not using 5 algorithm and visualisation data with python

Notifications You must be signed in to change notification settings

anillava1999/Titanic-ship-crash

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Data-science-project-on-Titanic-ship-crash-

This IPYNB file contains all analysis you can go through the Jupyter notebook and we are using Numpy for mathematical array operations and pandas for creating Dataframes and do some operation on dataset insights and we have done the visualisation for one column and one and two column relationship in a dataset, Main Topics we covered Covered this project

  • Data Collection
  • Data Analysis
  • Some mathematics operations on dataset(Statistics)
  • Visualisation with the question and answer
  • Question and Answer on dataset
  • Finding NULL values and Data cleaning
  • Applying 6 algorithms to preidct the user was survived or not (classification algorithms) 1.Logistic Regression 2.KNN algorithm 3.Decision Tree algorithm 4.Random Forest algorithm 5.Naive Bayse algorithm

Thank You Everyone .....Data World......

About

The Project predict the customer survived or not using 5 algorithm and visualisation data with python

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published