Learn To Predict Breast Cancer Using Machine Learning

Learn To Predict Breast Cancer Using Machine Learning

 Learn to build three Machine Learning models (Logistic regression, Decision Tree, Random Forest) from scratch - Free Course.

What you'll learn

• Use Python for Machine Learning to classify breast cancer as either Malignant or Benign.
• Implement Machine Learning Algorithms
• Exploratory Data Analysis
• Learn to use Pandas for Data Analysis
• Learn to use NumPy for Numerical Data
• Learn to use Matplotlib for Python Plotting
• Use Plotly for interactive dynamic visualizations
• Learn to use Seaborn for Python Graphical Representation
• Logistic Regression
• Random Forest and Decision Trees
• Machine Learning and Data Science Interview Guide

Requirements

• Basics of Python
• Some high school mathematics level.
• Some programming experience

Description

Here you will learn to build three models that are Logistic regression model, the Decision Tree model, and Random Forest Classifier model using Scikit-learn to classify breast cancer as either Malignant or Benign.

We will use the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle.

Prerequisite

You should be familiar with the Python Programming language and you should have a theoretical understanding of the three algorithms that is Logistic regression model, Decision Tree model, and Random Forest Classifier model.

Learn Step-By-Step

In this course you will be taught through the

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