Linear Regression with NumPy and Python

Linear Regression with NumPy and Python

(0 reviews)
Share icon
Coursera With GroupifyAI

Construct the gradient descent algorithm, execute univariate linear regression with NumPy and Python, and create data visualizations with matplotlib.

Key AI Functions:Data Science,Python Programming,Machine Learning,Regression,Numpy

Description for Linear Regression with NumPy and Python

Features of Course

  • Construct the gradient descent algorithm from the ground up.
  • Utilize NumPy and Python to execute univariate linear regression.
  • Utilize matplotlib to generate data visualizations and plots.
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 1

    Offered by: On Coursera provided by Coursera Project Network

    Duration: 1.5 hours

    Schedule: Flexible

    Reviews for Linear Regression with NumPy and Python

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Linear Regression with NumPy and Python

    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
    icon
    icon
    Freemium

    NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.

    #research #automation
    icon
    icon
    Paid

    Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.

    #project management # library
    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
    icon

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

    #Artificial Intelligence (AI) #Python Programming
    icon

    Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.

    #Data Science #Data Analysis
    icon

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

    #Tensorflow #Machine Learning
    icon

    Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

    #Prompt Engineering #Python Programming Language
    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
    icon

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

    #Python Programming #Langchain
    icon