This mini-course is neither a textbook on Python or a textbook on machine learning. It will take you from a developer that knows a little machine learning to a developer who can get results using the Python ecosystem, the rising platform for professional machine learning. Need help with Machi...
GenAI & Machine Learning CourseDetails The program covers diverse subjects including Python programming, exploratory data analysis, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.
Course learning goals: Explore advanced data science; train models; examine result; recognize data bias IBM: Machine Learning with Python course Data scientists from IBM guide students through machine learning algorithms, Python classifications techniques, and data regressions. Participants are recommended ...
The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Motivation Machine Learning, as a tool for Artificial Intelligence, is one of the most widely adopted scientific fields. A considerable amount of literature has been published on Machin...
This course describes the concepts of Machine Learning clearly from first principles and then shows how to apply these principles using the popular scikit-learn Python library. Andy Olsen has built this class to get you started quickly, focusing first on the basics and then walking you through ...
1. Data Science and Machine Learning Program by Scaler Designed with insights from advisors from the top 50 tech companies, this program is considered to be the most popular online course in Data Science and Machine Learning. The course adds value to you as a developer and enables you to und...
Python Scikit-learn lets users perform various machine learning tasks and provides a means to implement machine learning in Python. It needs to work with Python scientific and numerical libraries, namely, Python SciPy and Python NumPy, respectively. It’s basically a SciPy toolkit that features vari...
and IBM. They have produced a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, their objective was to help only those who wish to understand these techniques more easily...
Learning the fundamentals of building models in machine learning Exploring key algorithms By the end of this course, students will have practical knowledge of: Supervised learning algorithms Key concepts like under- and over-fitting, regularization, and cross-validation ...
Learn Python from Machine Learning Projects$37 USD We noticed that when people ask about issues in their machine learning project, very often it is not specifically a problem in machine learning but a problem in the programming language they use. It is sad to see someone distracted by the ...