Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Aseel Amro
December 9, 2023
21 hours (approximately)
Aseel Amro's account is verified. Coursera certifies their successful completion of Build Decision Trees, SVMs, and Artificial Neural Networks
What you will learn
Train and evaluate decision trees and random forests for regression and classification.
Train and evaluate support-vector machines (SVM) for regression and classification.
Train and evaluate multi-layer perceptron (ML) artificial neural networks (ANN) for regression and classification.
Train and evaluate convolutional neural networks (CNN) and recurrent neural networks (RNN) for computer vision and natural language processing tasks.
Skills you will gain
- Category: Decision Tree Learning
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Natural Language Processing
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Model Training
- Category: Convolutional Neural Networks
