Data Science

Breast Cancer Prediction Using ML

(0 reviews)
Share icon
Coursera With GroupifyAI

Master logistic regression for cancer classification, dataset acquisition via Kaggle API, and cloud-based development with Google Colab.

Key AI Functions:

Python Programming,Cancer prediction,Machine Learning,Data Mining

Description for Breast Cancer Prediction Using ML

  • Learn how to construct a logistic regression classifier to categorize cancer as either malignant or benign.
  • Discover how to download datasets directly from Kaggle using the Kaggle API.
  • Become proficient in the use of Google Colab in the cloud.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 2 hours

    Schedule: Hands-on learning

    Reviews for Breast Cancer Prediction Using ML

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Breast Cancer Prediction Using ML

    icon
    Paid

    The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

    #research #marketing
    Visit icon

    Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

    #Artificial Intelligence (AI) #Data Science
    Visit icon

    Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

    #Artificial Intelligence (AI) #Python Programming
    Visit icon

    Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

    #Tensorflow #Machine Learning
    Visit icon

    Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

    #Generative AI #Large Language Models
    Visit icon

    Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

    #Python Programming #Langchain
    Visit icon

    Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

    #Generative AI #Amazon Web Services
    Visit icon

    Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

    #Python Programming #Machine Learning
    Visit icon

    The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

    #Critical Thinking #MLOps (Machine Learning Operations)
    Visit icon

    Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

    #Machine Learning #regression
    Visit icon