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Performing ETL using Machine Learning

Project description


MAHA is an in-progress ETL package which uses machine learning to clean your dataset with one line command. Features of MAHA include :-

  • Drop all the index columns
  • Drop columns with too many missing values
  • Using Regression to find the missing values in the data and then replacing them


  • Data is in pandas DataFrame format
  • All the categorical variables are label encoded
  • All the columns are in the desired data type of the output

You can also:

  • Find the mean and mode of every column
  • Fill the NA values with mean and mode of the columnns depending on the datatype
  • Find a model for every column with all other columns being the independent variables


MAHA uses a number of open source projects to work properly:

  • [NumPy] - NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
  • [Pandas] - Pandas is a software library written for the Python programming language for data manipulation and analysis.
  • [Sklearn] - Machine Learning library which includes various classification, regression and clustering algorithms


MAHA requires pandas, numpy and sklearn

Use pip to install the packages

$ pip3 install pandas
$ pip3 install numpy
$ pip3 install sklearn

If you have not installed pip, you can do it by

$ curl -o

Then run the following command where you have installed

$ python


Developed By :- [Mithesh R], [Arth Akhouri], [Heetansh Jhaveri], [Ayaan Khan]

Want to contribute? Navigate to our GitHub for more information GitHub Repository - [MAHA]



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