Insights from this project
Github repo for the project.
To reproduce the project clone repository:
git clone https://github.com/bibinmjose/dsgramner.git
unzip gramener-usecase-nas.zip to root folder /dsgramner if doesn't exist
Original ipython notebook is in root folder while an html redering can be accessed from here.
jupyter-notebook National\ Achievement\ Survey.ipynb
Execute all the cells in jupyter notebook
raw .html of ipython notebook can be found at root folder as well.
The packages used include :
pandasnumpyseabornsklearnmatplotlib
All the major documentation of this project can be accessed from the markdown file or the html in folder docs.
Datasets used for analysis is provided by "Gramener" and can be found in gramener-usecase-nas. Te dataset is based on the national achievement survey conducted by NCERT for 8th grade students.
Since inference is the goal of the questions asked, a linear model is a good choice than a complex one.
To run the model, cd into /model
and run python LR_model.py
- Make a simple linear model
- Split each categorical variable into its own category in the linear model.
By Bibin Jose