Steps of Data Analysis
- 1. Dealing with Missing Data
- 2. Dealing with Duplicates
- 3. Outlier Detection
- 4. Encode Categorical Features
- 5. Transformation
Steps to implement :
- Open Jupyter Notebook.
- Declare a dummy dataframe using pandas.
- Then implement the below methods.
1. Methods to check missing values
2. Removing Missing Data
3. Filling Missing Data
4. Dealing with Duplicates
5. Outlier Detection & Handling
6. Encoding Categorical Features
7. Feature Transformation
8.Detecting and Handling Infinite Values
When to Remove vs. Fill Missing Data?
