Description
This research project is for analyzing survivors of the titanic and creating a basic SKLearn model for making predictions about the survivors. The dataset was provided to the class as this project is meant to be an interesting real world application in my education in data science. My model predicts if a passenger will survive based on the passenger's sex as well as their ticket class. Based on these two inputs a solid prediction can be made about a passenger's survival rate.
Details
- Scikit-learn KneighborsClassifier Model
- Pandas
- Matplotlib
- Seaborn
- Correlation Heatmap
- Cross Validation Score
- Classification Report
- Confusion Matrix Heatmap
- Research Paper
- Individual Project
- One Month Scope
Objectives
- Perform EDA
- Data Processing
- Train Model
- Model Validation
- Technique Summaries
