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Vor 5 Stunden · This is to certify that Kevin Rehmke successfully completed and received a passing grade in py4e102x: Python Data Structures a course of study offered by MichiganX, an online learning initiative of the University of Michigan.
Vor 2 Tagen · Applied Data Science with Python Specialization (Coursera – University of Michigan) The University of Michigan offers the ‘Applied Data Science with Python’ specialization on Coursera. This advanced specialization targets learners interested in exploring the world of data science using Python.
Vor 5 Tagen · 5. University of Michigan’s Applied Machine Learning with Python. The University of Michigan offers an excellent course titled “Applied Machine Learning with Python.” This course is available on Coursera and is part of the Applied Data Science with Python specialization. It provides a practical approach to learning machine learning, with ...
Vor 5 Tagen · Computer Vision. Nanodegree Program. ( 450) Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. Read More. Enroll Now. Download Syllabus. Advanced.
Vor 3 Tagen · University of Michigan. / 42.27694°N 83.73806°W / 42.27694; -83.73806. The University of Michigan ( U-M, UMich, or simply Michigan) is a public research university in Ann Arbor, Michigan. Founded in 1817, it is the oldest institution of higher education in the state.
Vor einem Tag · Requirements. - Good knowledge of Python. - Experience with various Python libraries, such as Numpy, Pandas, and Scikit-learn. - Motivation to teach other students. - Fluent in English. We offer. - Tutor job with compensation for workshop time and preparation. - Being part of a larger team (including tutors for 3D printing and Arduino Workshops)
Vor 5 Tagen · Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.
