This is a repository to save data science analysis practices.
Includes:
- Data Cleaning
- Missing data
- Outliers
- Exploratory Data Analysis
- Single Variable Analysis
- Multiple Variable Analysis
- Correlation Analysis
- Feature Engineering
- Creating new features
- Transform existing features
- Model Selection
- K fold cross validation
- Feature Importance
- Recall and Precision
- Tuning Hyper parameter
- Ensembling Vote