What are some of the steps for data wrangling and data cleaning before applying machine learning algorithms?

Data Science, AI and ML
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What are some of the steps for data wrangling and data cleaning before applying machine learning algorithms?

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Data preprocessing/ Data cleaning/ Data wrangling is a ritual that every data scientist has to perform before the data is used for any machine learning model. some simplified steps for preprocessing our data are:

  1. Finding and handling missing values
  2. Data Formatting
  3. Data Normalization
  4. Data Binning / Converting Numerical data to Categorical Data
  5. Converting Categorical data to Numerical data

ref:Keep Your Data Clean. Data preprocessing/ Data cleaning/ Data… | by Akshada Gaonkar | The Startup | Medium