This course covers the fundamentals of machine learning principles and practices, with a practical focus. You will be introduced to the concept of Supervised and Unsupervised machine learning with the help of Python libraries such as scikit-learn and pandas.
This course covers the fundamentals of machine learning principles and practices, with a practical focus. You will be introduced to the concept of Supervised and Unsupervised machine learning with the help of Python libraries such as scikit-learn and pandas. You will get to experience guided programming and hands-on practical sessions.
What You'll Learn:
At Temasek Polytechnic, we are held together by our long and proud history, which has given rise to values, traditions and events that make up the TP culture. The TP community is firmly bonded in a caring and vibrant environment that is passionate about creating a better tomorrow for everyone.
At TP, every student is given the opportunity to achieve their personal best. Our students are groomed to become values-led leaders with vision, character and heart, excelling beyond their academic pursuits.
We nurture them to become self-directed learners while equipping them with strong knowledge and skills foundations. In this way, they graduate as well-rounded, industry-ready professionals who can contribute meaningfully to the global community.
This course teaches you how to optimize the performance of predictive models beyond the basics by implementing various data munging and wrangling techniques.
Machine learning is one of the keys elements of analytics today and helps organizations with a multitude of use cases to enhance business. Learn how Azure can be leveraged for Machine Learning for different use cases using different services.
Acquire essential knowledge on Artificial Intelligence, Machine Learning, and their impact on businesses.
Studying machine learning is beneficial due to the high demand for these skills across various industries, the ability to solve complex problems, automate processes, and provide personalised recommendations.
This course focus on the Artificial Intelligence (AI) and Machine Learning in Risk Assessment utilize advanced algorithms and data-driven tools to analyse workplace data, identify potential hazards, and predict safety risks.
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