Wednesday, August 21, 2024

Complete Breast Cancer Detection Using Machine Learning 2024

                         INTRODUCTION


  • Naïve Bayes algorithm is a supervised learning algorithm, which is based on Bayes theorem and used for solving classification problems.
  • It is mainly used in text classification that includes a high-dimensional training dataset.
  • Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions.
  • It is a probabilistic classifier, which means it predicts on the basis of the probability of an object.


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Complete Breast Cancer Detection Using Machine Learning 2024


SOURCE CODE 😃👇

#Breast Cancer Detection using Machine Learning

#import packages and dataset

from sklearn.datasets import load_breast_cancer

from sklear.model_selection import train_test_split

from sklearn.naive_bayes import GaussianNB

from sklearn.linear_model import LinearRegression

from sklearn.metrics import accuracy_score



#Analyse Breast Cancer Dataset

data=load_breast_cancer()

label_names=data....

FULL SOURCE CODE 😃👇


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