The Dataset of the Gujarat's AQI data is provided in the Data Preprocessing folder.
Objective
Give the numerical representation of the categorial data such that it can be used for Classification of whether the 'Type of Location' of the AQI data is 'Industrial Area' or 'Residential, Rural and other Areas'.
Tasks
Improve the data preprocessing workflow.
Data Cleaning & Transformation.
Feature Engineering
Encoding of categorial data, and also provide reason behind use of any particular encoding technique.
Contributors are expected to submit pull requests which satisfies needs of each task. And also the objective of the issue, which is to transform the categorial data columns into numerical such that it can be used for classification problem of determining whether the 'Type of Location' of the AQI data is 'Industrial Area' or 'Residential, Rural and other Areas'.
The task has to be done in file Preprocessing.ipynb, which is a jupyter notebook provided in the Data Preprocessing folder.
The code should be well commented explaining the reason behind steps where necessary.
The Dataset of the Gujarat's AQI data is provided in the
Data Preprocessing
folder.Objective
Give the numerical representation of the categorial data such that it can be used for Classification of whether the 'Type of Location' of the AQI data is 'Industrial Area' or 'Residential, Rural and other Areas'.
Tasks
Contributors are expected to submit pull requests which satisfies needs of each task. And also the objective of the issue, which is to transform the categorial data columns into numerical such that it can be used for classification problem of determining whether the 'Type of Location' of the AQI data is 'Industrial Area' or 'Residential, Rural and other Areas'.
The task has to be done in file
Preprocessing.ipynb
, which is a jupyter notebook provided in theData Preprocessing
folder.The code should be well commented explaining the reason behind steps where necessary.