Learn about the use of predictive models in Python through scikit-learn. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based on the scikit-learn library. Example usage of scikit-learn will illustrate how to fit and evaluate predictive models. Regression and classification […]
Learn about the use of predictive models in Python through scikit-learn. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based on the scikit-learn library. Example usage of scikit-learn will illustrate how to fit and evaluate predictive models. Regression and classification […]
Learn more about the practice of predictive modeling using Python. Description: Learn more about the practice of predictive modeling using Python. To find out about future one-day courses, please join our mailing list. This course builds upon Predictive Modeling with Python, covering best practices for building predictive models that perform well in noisy, real-world domains. […]
This course introduces Natural Language Processing to users familiar with Python. This course will introduce fundamental concepts in NLP including word and document representation, text processing, document classification, document similarity, and clustering, and dimensionality reduction. Date: March 3, 2017 Time:9 a.m. to 12:30 p.m. Location: Donald Bren Hall, Room 4011 Instructor: Garren Gaut, UC Irvine Pre-requisites: 1) A […]
Learn about the use of predictive models in Python through scikit-learn. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based on the scikit-learn library. Example usage of scikit-learn will illustrate how to fit and evaluate predictive models. Regression and classification […]
Learn about the use of predictive models in Python through scikit-learn. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based on the scikit-learn library. Example usage of scikit-learn will illustrate how to fit and evaluate predictive models. Regression and classification […]
Learn about the use of predictive models in Python through scikit-learn. Python is a popular language for scientific processing and machine learning. This course will introduce general modeling concepts in addition to concrete examples based on the scikit-learn library. Example usage of scikit-learn will illustrate how to fit and evaluate predictive models. Regression and classification […]
This course provides an introduction to NNs and learning with Python. In this workshop, you will learn about Tensorflow programming fundamentals and basic ideas of neural networks through building and training different MNIST models. Moreover, you will be introduced to more advanced applications of deep learning in computer vision and natural language processing with Keras […]
This course provides an introduction to NNs and learning with Python. In this workshop, you will learn about Tensorflow programming fundamentals and basic ideas of neural networks through building and training different MNIST models. Moreover, you will be introduced to more advanced applications of deep learning in computer vision and natural language processing with Keras […]