Breast cancer prediction in python

By Aaditya Kaushik

Breast cancer prediction is the process of using previously collected data and various features to predict whether a person can have breast cancer or not.

The process is as follows:-
1. Data Collection: In this phase, we collect data using various methods. 
2. Data Analysis: In this phase, we analyze the data to select various features, and drop irrelevant features.
3. Model Selection: In this phase, we select the model using hyperparameter testing check which model is performing best, and select that model.
4. Training: In this phase, the preprocessing of data takes place like scaling some features and then the processed data is given to the model for training. 
5. Prediction: In this the trained model is asked for predictions based on data given to it.