Load a dataset using Pandas, identify and handle missing values, remove duplicate rows, convert data types, and export the cleaned dataset.
Titanic Dataset
- Python
- Pandas
- Jupyter Notebook
- Loaded the dataset.
- Identified missing values.
- Filled missing values in Age and Embarked columns.
- Removed the Cabin column due to excessive missing values.
- Checked and removed duplicate rows.
- Converted Sex, Embarked, and Pclass columns to categorical data types.
- Exported the cleaned dataset to a new CSV file.
cleaned_titanic.csv