WhatsCooking
Playing around with the What's Cooking Yummly dataset on Kaggle.
Primarily wanted to get acquainted with the dataset and refamiliarize myself with scikit-learn.
Have implemented many different classifiers which include the use of all of the following:
- Count vectorization
- TFIDF feature extraction
- Using featureunion from sklearn
- Support vector classification (SVC)
- Logistic regression
- Random forests
- XGBoost
- Neural networks(implemented with Keras)
- other simple / random pre-processing steps
As of the time of writing this I have placed 126.
Will add a script to run my classifiers soon and codebase needs cleaning(remove messy notebooks).