Supervised ML: Regression and Classification

Supervised ML: Regression and Classification

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

Key AI Functions:Linear Regression,Regularization to Avoid Overfitting,Logistic Regression,Classification,Gradient Descent,Supervised Learning

Description for Supervised ML: Regression and Classification

Features of Course

  • Create machine learning models in Python by utilizing the widely used machine learning libraries NumPy and scikit-learn.
  • Develop and train supervised machine learning models for binary classification and prediction tasks, such as logistic regression and linear regression.
  • Level: Beginner

    Certification Degree: Yes

    Languages the Course is Available: 22

    Offered by: On Coursera provided by DeepLearning.AI

    Duration: 33 hours (approximately)

    Schedule: Flexible

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