This course will teach students how to use the Python programming language to build machine learning models. Students will learn about popular machine learning algorithms and how to implement them using Python's machine learning libraries such as Scikit-learn and TensorFlow. They will also gain hands-on experience in preprocessing data, training and evaluating models, and deploying machine learning solutions. By the end of the course, students will have the skills and knowledge to develop their own machine learning applications and solve real-world problems using Python. Whether you're a beginner or an experienced programmer, this course will provide you with a solid foundation in Python machine learning.
Learn moreHas discount |
![]() |
||
---|---|---|---|
Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Thu Aug 2024 | ||
Level |
|
||
Total lectures | 6 | ||
Total quizzes | 0 | ||
Total duration | 03:48:44 Hours | ||
Total enrolment |
![]() |
||
Number of reviews | 0 | ||
Avg rating |
|
||
Short description | This course will teach students how to use the Python programming language to build machine learning models. Students will learn about popular machine learning algorithms and how to implement them using Python's machine learning libraries such as Scikit-learn and TensorFlow. They will also gain hands-on experience in preprocessing data, training and evaluating models, and deploying machine learning solutions. By the end of the course, students will have the skills and knowledge to develop their own machine learning applications and solve real-world problems using Python. Whether you're a beginner or an experienced programmer, this course will provide you with a solid foundation in Python machine learning. | ||
Outcomes |
|
||
Requirements |
|