Machine Learning
Showing 157–168 of 233 results
Machine Learning with Tree-Based Models in Python
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Machine Learning with Tree-Based Models in R
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.
Machine Learning: Artificial Intelligence Decision Making with Minimax
Teach computers how to make decisions and play games with the Minimax Algorithm!
Machine Learning: Clustering with K-Means
Level up your machine learning skills by using unsupervised learning to find patterns hidden in data.
Machine Learning: Introduction with Regression
Get started with machine learning and learn how to build, implement, and evaluate linear regression models.
Machine Learning: K-Nearest Neighbors
Sharpen your machine learning skills by learning how to prepare, implement, and assess the K-Nearest Neighbors algorithm.
Machine Learning: Logistic Regression
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Machine Learning: Random Forests & Decision Trees
Learn how to build decision trees and then build those trees into random forests.
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
Machine Translation with Keras
Are you curious about the inner workings of the models that are behind products like Google Translate?
Managing Machine Learning Projects with Google Cloud
Business professionals in non-technical roles have a unique opportunity to lead/influence machine learning projects. If you have questions about machine learning & want to understand how to use it, this course is for you.