Implementing logistic regression with SGD from scratch and using it to classify crowd images.
To know more about the competition please follow the link: https://www.kaggle.com/c/hw2-predict-wine-goodness-from-review/overview
To run this notebook:
- Clone the repository.
- Install virtualenv.
- Navigate to the directory where you unzipped or cloned the repo and create a virtual environment with
virtualenv env
. - Activate the environment with
source env/bin/activate
- Install the required dependencies with
pip install -r requirements.txt
. - Execute
ipython notebook
from the command line or terminal. - When you're done deactivate the virtual environment with
deactivate
.
I have been using kaggle kernels for this project.
Here's my notebook : https://www.kaggle.com/rishabhgoelsbu/wine-review