Description
Machine Learning with Python is a course published by Coursera Academy. Get ready to dive into the world of machine learning (ML) using Python! This course is perfect for you whether you want to advance your data science career or get started in machine learning and deep learning. The course will start with a gentle introduction to machine learning and what it is, with topics such as supervised vs. unsupervised learning, linear and nonlinear regression, simple regression, and more. Then, you will delve into classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and logistic regression. You will also learn about the importance and different types of clustering, such as k-means, hierarchical clustering, and DBSCAN. With all the many concepts you will learn, there will be a strong emphasis on hands-on learning. You will work with Python libraries such as SciPy and scikit-learn and apply your knowledge through labs. In the final project, you will demonstrate your skills by building, evaluating, and comparing multiple machine learning models using different algorithms. At the end of this course, you will have job-ready skills to add to your resume and a machine learning certificate to prove your competence.
What you will learn
- Describe the different types of machine learning algorithms and when to use them.
- Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression
- Write Python code that implements various classification techniques including K-Nearest Neighbors (KNN), decision trees, and regression trees.
- Evaluate results from simple, nonlinear, and multiple linear regression on a data set using evaluation criteria
Machine Learning with Python course specifications
- Publisher: Coursera
- Instructor: SAEED AGHABOSORGI
- Language: English
- Education level: Intermediate
- Number of lessons: 6
- Training duration: Approximately 13 hours to complete the course
Machine Learning with Python course topics
Course prerequisites
Pictures
Sample video
Installation Guide
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Subtitles: English
Quality: 720p
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File size
330 MB
