ML Regression

ML Regression

(0 reviews)
Share icon

Master regression by predicting house prices, investigate regularized linear regression, manage extensive feature sets, and employ optimization algorithms to make precise predictions with large datasets.

Key AI Functions:Linear Regression,Ridge Regression,Lasso (Statistics),Regression Analysis

Description for ML Regression

Features of Course

  • Case Study on House Price Prediction: Using input features such as square footage and the number of bedrooms, create models to predict house prices, illustrating the effectiveness of regression.
  • Regularized Linear Regression: Investigate the application of regularized linear regression models in a variety of domains for the purpose of feature selection and prediction.
  • Managing Large Feature Sets: Develop the ability to manage extensive sets of features and select between models of varying complexities, while also evaluating the impact of outliers on predictions.
  • Optimization Algorithms: Employ optimization algorithms to develop models that can accommodate large datasets in order to make precise predictions.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by University of Washington

    Duration: 22 hours (approximately)

    Schedule: Flexible

    Reviews for ML Regression

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for ML Regression

    Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.

    #Logistic Regression #Unsupervised Learning
    icon

    Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

    #Artificial Intelligence #Python (Programming Language)
    icon

    Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.

    #Logistic Regression #Artificial Neural Network
    icon

    Set up for a profession in machine learning. To become job-ready in less than three months, acquire the skills and practical experience that are in high demand.

    #Statistical Hypothesis Testing #Machine Learning (ML) Algorithms
    icon

    Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.

    #Bayesian Statistics #Mathematics
    icon

    Learn to build and train supervised machine learning models for binary classification and prediction tasks using Python with NumPy and scikit-learn libraries.

    #Linear Regression #Regularization to Avoid Overfitting
    icon

    Learn fundamental machine learning principles, including K nearest neighbor, linear regression, and model analysis, with prerequisites of Python programming and basic mathematics.

    #Machine Learning #Python
    icon

    Learn regression analysis, build prediction functions, and develop public data products.

    #Github #Machine Learning
    icon

    Gain practical experience in implementing Linear Regression with Numpy and Python, understand its significance in Deep Learning, require prior theoretical knowledge of gradient descent and linear regression, and catered primarily to students in the North American region with future plans for global accessibility.

    #Data Science #Python Programming
    icon

    Become an expert in the field of artificial intelligence. Develop effective strategies for the application of Artificial Intelligence techniques to address business challenges.

    #Linear Regression #Machine Learning (ML) Algorithms
    icon