Titanic-Machine-Learning-from-Disaster-Project

Titanic-Machine-Learning-from-Disaster-Project Model accuracy : 77.272 %

Kaggle site : https://www.kaggle.com/c/titanic/overview/evaluation

Coding Info:

Programming Language: Python 3

Environment: Anaconda Distribution

Machine Learning Libraries Required :

1. Numpy
2. Pandas
3. Seaborn
4. Matplotlib
5. sklearn

Algorithm :

1. KNN
2. Decision Tree
3. Ramdom Forest
4. Naive Bayes
5. SVM

Project main Part :

1. Defining the problem statement
2. Collecting the data
3. Exploratory data analysis
4. Feature engineering
5. Modelling
6. Testing