Machine Learning with Python

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

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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