Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Kashika Goel
February 2, 2024
21 hours (approximately)
Kashika Goel'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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Classification And Regression Tree (CART)
- Category: Natural Language Processing
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Classification Algorithms
- Category: Computer Vision
- Category: Applied Machine Learning
