Machine Learning
Showing 97–108 of 116 results
Modeling with tidymodels in R
Learn to streamline your machine learning workflows with tidymodels.
Monitoring Machine Learning Concepts
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Monitoring Machine Learning in Python
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Natural Language Processing with spaCy
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Practicing Machine Learning Interview Questions in Python
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Predicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Preprocessing for Machine Learning in Python
Learn how to clean and prepare your data for machine learning!
PyTorch for Classification
Build AI classification models with PyTorch using binary and multi-label techniques.
Sentiment Analysis in Python
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Sentiment Analysis in R
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.
Small Datasets in Machine Learning
Explore techniques and best practices for machine learning with small datasets.
Supervised Learning in R: Classification
In this course you will learn the basics of machine learning for classification.