This program tries to predict marks of a student based ONLY on a few factors. It uses a Dataset of students with their attributes and their marks. Warning- This is only indicative of the inclination.
This project aims to build a software which can predict marks of a student purely based on statistical basis by employing a neural network to learn from the dataset of students with their attributes and marks.
Clone the repository in your system and follow these steps-
- Install requirements by
pip install -r requirements.txt
- Run the file nn.py to train the neural network. (You can also skip this step to use already given weights and biases in repository)
python nn.py
- Run the program nnc.py.
python nnc.py
- Enjoy your results.
1.SciPy
2.Numpy
3.Tensorflow
Note- Most of these can be easily installed via pip
pip install numpy
pip install tensorflow
pip install keras
Clone the repository in your system and follow these steps-
- Follow getting started.
- Simply install requirements.txt by running
pip install -r requirements.txt
- Then run nnc.py.
Janhavi Subedarpage
- Arth Dubey