Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Sevanth B S
April 11, 2024
21 hours (approximately)
Sevanth B S'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: Machine Learning Algorithms
- Category: Predictive Modeling
- Category: Classification Algorithms
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Deep Learning
- Category: Model Training
- Category: Applied Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Supervised Learning
- Category: Computer Vision
- Category: Random Forest Algorithm
- Category: Convolutional Neural Networks
