Language Classification with Naive Bayes in Python
About this Course
In this 1-hour long project, you will learn how to clean and preprocess data for language classification. You will learn some theory behind Naive Bayes Modeling, and the impact that class imbalance of training data has on classification performance. You will learn how to use subword units to further mitigate the negative effects of class imbalance, and build an even better model.Created by: Coursera Project Network
Related Online Courses
Learn about the role of environment in disease transmission and how to implement standard and transmission-based precautions to prevent the spread of antibiotic resistant bacteria and other... more
This class is the chance to create your personal essay or extend into a full memoir -- from planning and structure to bold narrative brushstrokes to the layering of significant detail. You will... more
This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark,... more
Our specialization is a blend of basic and emerging technology in the power distribution sector through two unique courses. First course is Electrical Power Distribution wherein we deal from... more
Everyone can be a technology innovator. This specialization helps learners translate their technical knowledge and problem-solving skills into high value products and services. Throughout this... more
Powered by
