- Deep Learning
- Python Programming
- Unsupervised Learning
- Supervised Learning
- hyperparameter tuning
- Decision Tree
- Dimensionality Reduction
- Cluster Analysis
- Recommender Systems
Machine Learning: Theory and Hands-on Practice with Python Specialization
Develop Foundational Machine Learning Skills. Add Supervised, Unsupervised, and Deep Learning techniques to your Data Science toolkit.
What you will learn
Explore several classic Supervised and Unsupervised Learning algorithms and introductory Deep Learning topics.
Build and evaluate Machine Learning models utilizing popular Python libraries and compare each algorithm’s strengths and weaknesses.
Explain which Machine Learning models would be best to apply to a Machine Learning task based on the data’s properties.
Improve model performance by tuning hyperparameters and applying various techniques such as sampling and regularization.
Skills you will gain
About this Specialization
Applied Learning Project
In this specialization, you will build a movie recommendation system, identify cancer types based on RNA sequences, utilize CNNs for digital pathology, practice NLP techniques on disaster tweets, and even generate your images of dogs with GANs. You will complete a final supervised, unsupervised, and deep learning project to demonstrate course mastery.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 3 Courses in this Specialization
Start working towards your Master's degree
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
How long does it take to complete the Specialization?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
What will I be able to do upon completing the Specialization?
More questions? Visit the Learner Help Center.