Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Osita Nerat Nwajah
December 24, 2023
21 hours (approximately)
Osita Nerat Nwajah'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: Predictive Modeling
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Classification And Regression Tree (CART)
- Category: Machine Learning Algorithms
- Category: Convolutional Neural Networks
- Category: Computer Vision
- Category: Artificial Neural Networks
- Category: Supervised Learning
- Category: Natural Language Processing
- Category: Classification Algorithms
- Category: Model Training
