Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Kartik Sharma
November 30, 2024
21 hours (approximately)
Kartik Sharma'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: Artificial Neural Networks
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Classification And Regression Tree (CART)
- Category: Model Training
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Natural Language Processing
- Category: Computer Vision
- Category: Convolutional Neural Networks
- Category: Predictive Modeling
