1.**Imbalanced Data**: Imbalance means the number of data tip accessible for dissimilar classes is different.

2.**Outliers**:-An outliers is a data point that varies remarkably from additional scrutiny.

3.**High dimensional data**: The high dimensional data simply means dimensions are higher than usual because of the higher dimension the calculation becomes extremely tough.

4.__Missing data__: A missing value can designate a variety of things in your data may be the data was not applicable or the event didn’t occur. The two important things in missing data are avoided column and complete the due synonym.

5.__Poor data__: The poor data simply denotes the quality data is simply low. We can not perform different operations on the data because of the low quality.

6.__High cardinality__: High cardinality means column with values that are different. Its column values are email and name which is unique.