Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Bukola Kemi Nova
November 11, 2025
21 hours (approximately)
Bukola Kemi Nova'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: Classification Algorithms
- Category: Computer Vision
- Category: Model Training
- Category: Applied Machine Learning
- Category: Convolutional Neural Networks
- Category: Natural Language Processing
- Category: Deep Learning
- Category: Decision Tree Learning
- Category: Predictive Modeling
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Supervised Learning
