Course Description

"Learn how to accurately classify breast cancer as either Malignant or Benign using three powerful models: Logistic Regression, Decision Tree, and Random Forest Classifier. This course will guide you through the process step-by-step, using the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle. Prior knowledge of Python and a theoretical understanding of the three algorithms is recommended. Through hands-on instruction, you will learn how to load the dataset, perform exploratory data analysis, visualize the data, manipulate it for machine learning algorithms, and evaluate the performance of each model. By the end of this project, you will have the skills to confidently build and evaluate classifiers for cancer classification. Enroll now and gain the ability to work with the Google Colab environment and clean and prepare data for analysis."