Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Abdullah Alarfaj
February 2, 2024
21 hours (approximately)
Abdullah Alarfaj'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: Random Forest Algorithm
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Predictive Modeling
- Category: Classification And Regression Tree (CART)
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Decision Tree Learning
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Model Training
- Category: Computer Vision
- Category: Natural Language Processing
