INCREASING LEVERAGE

Data cleaning is the process of preparing raw data for analysis. This is also know as data pre-processing or data wrangling. Data cleaning is a critical step in the process of data analysis and machine learning. Missing values must be considered for their impact on any future data analysis... If you're cleaning data for data science/machine learning, you should split the dataset into train and test first and then only clean the data in the train dataset... Replace the missing value. You can fill the unknown value with the average of similar numerical data points. If it's a categorical value you can use the mode or judgment if you have insight into the data which is done in pandas using the function. df.replace(missing_value, new_value)