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Machine Learning with Python

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

Key AI Functions:Machine Learning,regression,Hierarchical Clustering,classification,SciPy and scikit-learn

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Description for Machine Learning with Python

Features of Course

Describe the different varieties of machine learning algorithms and the appropriate time to employ them.

Contrast and contrast linear classification methods, such as logistic regression, support vector machines, and multiclass prediction.

Write Python code that implements a variety of classification techniques, such as decision trees, regression trees, and K-nearest neighbors (KNN).

Evaluate the outcomes of simple linear, non-linear, and multiple regression on a data set by employing evaluation metrics.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 10 hours (approximately)

Schedule: Flexible

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