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Learner Reviews & Feedback for Breast Cancer Prediction Using Machine Learning by Coursera Project Network

4.4
stars
47 ratings

About the Course

In this 2 hours long project-based course, you will learn to build a Logistic regression 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. Our goal is to use a simple logistic regression classifier for cancer classification. We will be carrying out the entire project on the Google Colab environment. You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in real-life. We are only using this data for educational purposes. By the end of this project, you will be able to build the logistic regression classifier to classify between cancerous and noncancerous patients. You will also be able to set up and work with the Google colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of the Logistic Regression algorithm. You will need a free Gmail account to complete this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1 - 8 of 8 Reviews for Breast Cancer Prediction Using Machine Learning

By Yashwanth N

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Jul 28, 2021

Wonderful, just right way to guide the beginner to complete his first Machine Learning project.

By Muhammad N N A

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Jul 28, 2025

This is my first guided project using machine learning, and the instructions are clear and easy to follow. It’s boosted my confidence in applying ML within my professional field

By Barbara U

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Jan 14, 2024

The instructor is great!

By Harith Y

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May 24, 2025

Please teach more in-depth, about the theory, how the model actually works.

By Sawan K S

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Aug 22, 2023

Good to get started with ML journey and learn about logistic regression.

By Kachidere O

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Jan 8, 2022

A really great course, highly recommended

By Neeklesh S

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Mar 19, 2022

Good

By Eduard-Alexandru K

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Apr 8, 2025

Big error at X_train = scaler.fit_transform(X_train) X_test = scaler.fit_transform(X_test)