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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

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Description for Supervised ML: Regression and Classification

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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