HRDF Funded - Python Machine Learning with Scikit Learn Training

This training aims to equip you with basic machine learning knowledge using Python scikit-learn package such as regression, classification, clustering, decision trees and neural networks. The topics include:

• Linear regression
• Create representations of documents and images that can be used in machine learning models
• Discover hidden structures in data using clustering and PCA
• Basics of Neural Network

HRDF SBL Claimable for Employers Registered with HRDF
For more information regarding this course please visit:
https://www.tertiarycourses.com.my/python-machine-learning-with-scikit-learn-training.html

Module 1 Getting Started on Scikit-Learn

• What is Machine Learning
• Machine Learning Steps
• What is Scikit-Learn
• Installing Scikit-Learn

Module 2 Datasets

• What is Dataset 
• Iris Dataset
• Handwritten Digits Dataset
• Boston Housing Price Dataset
• Splitting Datasets for Training/Testing

Module 3 Supervised Learning

• What is Supervised Learning
• Key Classifiers Algorithms - KNN, SVM, GNB, DT, Ensemble
• Performance Metric and Errors
• Model Persistence
• Regression

Module 4 Unsupervised Learning

• What is Unsupervised Learning
• Key Clustering Algorithms - K-Means, Mean Shift, Agglomerative
• Dimensionality Reduction - PCA

Module 5 Neural Network

• What is Neural Network?
• Multi Layer Perceptron Classifier
• Hidden Layers
• Activation Function
• Solver
• Learning Rate
• Momentum