Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Mithunkumar Kumar
April 20, 2024
21 hours (approximately)
Mithunkumar Kumar'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: Computer Vision
- Category: Recurrent Neural Networks (RNNs)
- Category: Applied Machine Learning
- Category: Supervised Learning
- Category: Classification And Regression Tree (CART)
- Category: Artificial Neural Networks
- Category: Model Training
- Category: Classification Algorithms
- Category: Decision Tree Learning
- Category: Natural Language Processing
- Category: Deep Learning
- Category: Machine Learning Algorithms
