ONLINE COURSE – Machine Learning using Python (MLUP01) This course will be delivered live
https://www.prstats.org/course/machine-learning-using-python-mlup01/
2nd - 6th June 2025
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COURSE DETAILS
This course comprehensively introduces Machine Learning, covering theoretical foundations and practical applications. It focuses on crucial machine learning techniques such as supervised and unsupervised learning algorithms, using Python and popular libraries like Scikit-learn, TensorFlow, and Keras. The course emphasises hands-on projects to apply learned concepts to real-world ecological problems.
By the end of the course, participants should be able to:
Understand fundamental concepts in machine learning, including supervised and unsupervised learning. Be able to preprocess data for machine learning tasks. Understand key algorithms for regression, classification, clustering, and dimensionality reduction. Gain proficiency in building neural networks and deep learning models. Be familiar with model selection techniques and hyperparameter tuning. Have confidence in deploying machine learning models in production environments. Be able to apply machine learning techniques to solve real-world problems through hands-on projects.
Please email oliverhooker@prstatistics.com with any questions.
