机器学习肿瘤识别：乳腺癌数据集上的机器学习算法，用于识别肿瘤是恶性还是良性

# Machine-Learning---Tumour-Identification 1. Explored Machine Learning techniques on a breast cancer dataset to build algorithms to predict whether a tumour is malignant or benign. 2. The performance of supervised learning algorithms such as Logistic Regression, k-Nearest Neighbour and Decision Tree were compared. 3. The effects of feature engineering using PCA and Pearson’s correlation matrix and the effects of data engineering using under sampling and over sampling were also studied .