Machine Learning in Python for Professionals
Develop essential programming & development skills with expert instruction and practical examples.
Skills you'll gain:
Skill Level
Requirements
Who This Course Is For
About This Course
Do you want to learn advanced Python algorithms used by professional developers. We have created a complete and updated advanced program in machine learning who want to build complex machine learning solutions. This course covers advanced Python algorithms, which will help you learn how Python allows its users to create their own Data Structures enables to have full control over the functionality of the models.
Let's Have A Look At The Major Topics That This Course Will Cover. Supervised Learning - Advanced Classification ModelsUnsupervised LearningExplainable Artificial IntelligenceDimensionality ReductionRecommendation SystemsReinforcement LearningWe'll be explaining each concept using real examples and easy coding techniques in Python using a Jupyter notebook and different environments. In this course, we'll be covering topics that will help you learn how to use open-source packages, tools, and data sets to build supervised and unsupervised models.
At the end of this course, you'll be having complete knowledge starting from the fundamentals of unsupervised techniques to advancing unsupervised techniques and supervised algorithms. These techniques will help you build efficient and reliable models. With this expert-curated course, you'll surely be going to learn important tips that will help you become a complete data scientist.
Make your move now. Enroll in this course today and learn advanced algorithms to boost your career. See You In The Class.
Topics Covered
Course Details
View pricing and check out the reviews. See what other learners had to say about the course.
This course includes:
Not sure if this is right for you?
Browse More Programming & Development CoursesContinue Your Learning Journey
Explore more Programming & Development courses to deepen your skills and advance your expertise.