Handling missing values in data using Python.

Published: 01 December 2022
on channel: Addicted to Machine Learning

In this video we will explore, how missing values can be removed from our excel, csv or pandas dataframe. Removing or Imputing Missing values from a dataset is a significant step of data cleaning process especially in Machine learning and analytics domains. In this video we will explore the strategy to deal with and handle missing values.

The primary among them is using Simple Imputer from Sklearn to deal with the missing values in our Pandas dataframe. We will also explore the dropna() or dropna method to drop rows with missing values from the dataset.

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