Advanced Data Analytics and Machine Learning with R
Details
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Many industries working with large amounts of data have recognized the value of machine learning technology. By gleaning insights from this data, organizations are able to work more efficiently or gain an advantage over competitors.
To get the most value from machine learning, this 3 days course on Machine Learning will teach you most of the key machine learning using R. R is particularly suited to learning machine learning due to user friendliness and the powerful RStudio IDE.
Course Objectives:
- What is machine learning
- Supervised Learning Models
- Unsupervised Learning Models
- Neural Network
Outline
- Introduction to Machine Learning
- What is Machine Learning
- Types of Machine Learning
- Supervised vs Unsupervised Learning
- Python vs R for Machine Learning
- Install R Machine Learning Package
- Data Preprocessing
- Sample Data
- Impute Missing Data
- Normalize Data
- Split Data
- Regression Methods
- What is Linear Regression
- Regularization – Bias vs Variance Tradeoff
- Lasso Regression
- Ridge Regression
- Classification Methods
- What is Classification
- Logistic Regression
- Gaussian Naive Bayes (GNB)
- K Nearest Neighbor (KNN)
- Support Vector Machine (SVM)
- Decision Tree
- Confusion Matrix
- ROC and AUC Analysis
- Clustering Methods
- Distance Measure
- K Means Clustering
- Hierarchical Clustering
- Silhouette Analysis
- Ensemble Methods
- Types of Ensemble Methods
- Random Forest Ensemble
- Gradient Boost and XGBoost Ensemble
- Stacking Ensemble
- Hyperparameter Tuning
- Exhaustive Grid Search
- Random Search
- Neural Network
- What is Neural Network
- Activation Functions
- Deep Learning vs Machine Learning
- Classification Using Neural Network
St.Hua Private School is established in 1997 by a group of experienced graduates from recognized universities such as National University of Singapore (NUS) and Nanyang Technological University (NTU).
Additionally, most of our courses are subsidized by SkillsFuture credit, an initiative offered by the Singapore Government to upgrade Singapore Citizens’ skills by providing each citizen with $500 in funding to partake any eligible course they wish.
Ultimately, we aim to ensure that students are better equipped with the necessary skill sets to meet the requirements of society, to prepare them for the workforce and to enhance and elevate current workers’ skills so that they can better fit their current job and propel them to further heights in Singapore society.
Furthermore, St.Hua Private School is recognized and accepted by CPE (Council of Private Education) to practice as a private school from 9th January 2017 to 8th January 2021.
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