Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Daniel Flores Araiza
April 9, 2021
21 hours (approximately)
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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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning Algorithms
- Category: Classification And Regression Tree (CART)
- Category: Classification Algorithms
- Category: Model Training
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Natural Language Processing
- Category: Artificial Neural Networks
- Category: Predictive Modeling
