Course Description
This comprehensive course will guide you through the exciting world of Machine Learning using the powerful Python programming language. You’ll start with the fundamentals and gradually progress to advanced techniques, gaining the skills to tackle real-world challenges.
By the end of this course, you will have a strong foundation in machine learning principles and practical skills using Python. You’ll be well-equipped to tackle challenging data science problems and contribute to innovative solutions in various fields.
What You’ll Learn From This Course
- You will learn to give an explanation of the many kinds of machine learning algorithms and their applications.
- You will be able to analyze and contrast logistic regression, support vector machines, and multiclass prediction as examples of linear classification techniques.
- You will be able to write Python code that uses decision trees, regression trees, and K-Nearest Neighbors (KNN) to apply several categorization approaches.
- You will learn to apply evaluation measures to a data set to assess the outcomes of multiple regression, non-linear, and simple linear regression.
