- Regression Analysis
- Decision Tree Learning
- Computer Vision
- Applied Machine Learning
- Machine Learning Algorithms
- Natural Language Processing
- Random Forest Algorithm
- Deep Learning
- Artificial Neural Networks
- Supervised Learning
Build Decision Trees, SVMs, and Artificial Neural Networks
Completed by Utkarsh Kushwaha
June 29, 2022
21 hours (approximately)
Utkarsh Kushwaha'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
