Cat-Classifier-Using-Logistic-Regression
A very simple Classifier using Logistic Regression.
It mainly contains the following steps:
1. Packages import
2. Data loading and preprocessing(standardize)
3. Helper functions building(including sigmoid function, initiialize function, forward and backward propagation functions, optimization function, prediction)
4. All helper functions in a model merge
5. Postprocess
The details of the whole algorithm can be found in Logistic-Regression-Classifier.ipynb.