Machine Learning with Python
Explore the fundamentals of machine learning using Python. Discover how to uncover hidden insights, predict future trends, and create prototypes.
Develop these core skills and take a critical step forward in your data science career.
Earn your certificate
Once you have completed this course, you will earn your certificate.Preview digital certificate
- IBM Certificate
About this course
- 05 Modules
- 06 Skills
- Discussion space
- 11 Labs
- 26 Videos
- 05 Quizzes
- 01 Final exam
- Jupyter Notebook
Exercises to explore
- Simple linear regression
- Non-linear regression
- Decision trees
- Logistic regression
- Support vector machines
- Hierarchical clustering
- DBSCAN clustering
- Collaborative filtering
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Python is a high-level, open-source programming language that provides an easy-to-use approach to object-oriented programming. It is one of the most widely used languages for machine learning, as well as data science and AI as a whole. It is employed in many different projects and applications. However, Python is often the go-to language to use for machine learning because it contains many features that are helpful for working with statistics, and scientific functions.
Python's prominence in the scientific and research disciplines is due to its simple syntax and ease of usage. It is easy to understand, especially for those without a background in engineering or computing, and it’s also popular for quick prototyping.
This is a hot subject for debate in the world of data science and AI. IBM considers the topic very well in a page dedicated to the subject (see link below). From IBM’s perspective, both languages are valuable for data science and AI, and each brings its own strengths and weaknesses. Both languages are popular in data science because they each work well for many data science tasks. These can range from data manipulation to big data exploration. Their differences can be best understood, therefore, through consideration of how each one has come into existence. Python came into being around 1989 and is considered a general-purpose programming language. However, R has grown directly from statistical analysis, and is therefore extremely powerful but more complex to use.
For more information on this, we recommend you read this article written by IBM: www.ibm.com/cloud/blog/python-vs-r
Yes, this is a mentored course. As part of SkillUp Online’s mentoring service, you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Plus, you will have the opportunity to discuss problems and ask questions in one-to-one sessions with your mentor.
Yes, you will be issued an IBM Professional Certificate when you complete this course. You can upload it to your LinkedIn profile and add it to your resumé.
This course is fully online. All you need is a good connection to the internet to access the course material that will be in the form of articles, videos, and knowledge checks. You are not required to attend any classes in person.