Description
Course “Applied Machine Learning in Python”. This course introduces the student to applied machine learning and places more emphasis on the techniques and techniques rather than the statistics behind those methods. The course begins with a discussion of how machine learning differs from descriptive statistics and introduces the scikit learning toolset through a tutorial. The issue of data dimensions will be discussed and the problem of data clustering, as well as the evaluation of these clusters, will be considered. Supervised approaches to building predictive models are described, and students can apply predictive modeling techniques (e.g., cross-validation, overfitting) while understanding the process issues associated with data generalizability. The course will conclude with a look at more advanced techniques such as ensemble construction and the practical limitations of predictive models. Upon completion of this course, students will be able to identify the difference between supervised (classification) and unsupervised (clustering) methods, determine which method to apply to a specific data set and need, the characteristics that meet that requirement, and write Python code to perform the analysis. This course should be taken after Introduction to Data Science in Python and Applied Drawing, Graphing, and Data Presentation in Python, and before Applying Text Mining in Python and Applied Social Analysis in Python.
What you will learn in the “Applied Machine Learning in Python” training series
- Explain how machine learning differs from descriptive statistics
- Creating and Evaluating Data Clusters
- Explain various methods for creating predictive models.
- Create functions that meet your analysis needs
Course details
- Publisher: Coursera
- English language
- Duration: 4 hours
- Number of courses: 4
- Lecturer: Kevin Collins-Thompson
- File format: mp4
- Course level: from introductory to advanced
- Presenting Institution/University: University of Michigan
Courses available in the Applied Machine Learning with Python educational collection.
Training Set Prerequisites
Images
Example video course
installation instructions
Once extracted, watch using your favorite player.
English subtitles
Quality: 540p
Download link
Password for file(s): www.downloadly.ir
size
489 MB