1.0 Read 1 reviews
Overview
Key facts
Supercharge your resumé—whether you want to work on a side project, build your own business, or simply contribute a broader skillset to your company, learning machine learning is a surefire way to maximize the value you provide. CareerFoundry offers the Machine Learning with Python programme.
In this course, you will:
- Learn the fundamental principles of machine learning, and apply them to a real-world project.
- Dive into the real-world applications of machine learning such as unsupervised learning, deep learning, and visual data.
- Work 1:1 with an expert mentor, who'll provide you with individualized support, advice, and feedback.
- Join an active community of over 5000 graduates and 700 instructors, and get access to exclusive events and webinars.
Programme Structure
Courses include:
- Ethics and Direction of Machine Learning Programs
- Unsupervised Learning Algorithms
- Evaluating Hyperparameters
- Visual Applications of Machine Learning
- Optimization in Relation to Problem-Solving
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
Online
Campus Location
- Berlin, Germany
Disciplines
Software Engineering Machine LearningWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is for those who would like to learn how to use Python to conduct advanced analyses using machine learning algorithms and models
- To successfully complete the course, you’ll need to have experience with the programming language Python. You’ll also need to have experience with tools and software such as Excel and Jupyter Notebook, and experience working with statistical algorithms. You should already be comfortable using many of the common libraries for working with data, for instance, Pandas, NumPy, and sci-kit-learn
Additionally, you’ll need:
- Interest in machine learning
- Written and spoken English proficiency at a B2 level or higher
Technological requirements
- A computer (macOS, Windows, or Linux) with a webcam, microphone, and an internet connection
- You’ll be using the tools; Jupyter Notebook, GitHub, and Python. You'll also use a Word Processing tool and a Presentation tool of your choice
- All the tools and software you’ll need are free to use—with no additional cost to you
Tuition Fees
Funding
Improve page content