Breast cancer prediction in python
Aaditya Kaushik
Sep 14, 2023
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.
-1694676976-2195.png)
-1694677007-2195.png)
_(1)-1694677050-2195.png)
_(1)-1694677027-2195.png)
Project Files
| .. | ||
| This directory is empty. | ||
