Machine Learning Courses


Understand and apply supervised & unsupervised learning methods, including KNN, Linear & Logistic Regression, Naive Bayes, Tree based methods, SVM, Neural Nets, Deep Learning, Ensembles, Clustering and Association Mining. Learn validation techniques, when to adjust thresholds, feature selection/engineering and how to select best models.

Live, online and instructor led. Dates/times aren’t suitable or for group bookings – please let us know?

Machine Learning Professional

A$990 + gst

3:30 – 6:30pm AEST, 1 & 2 Sep, 2021

Course outline:

  • Introduction and business scenario
  • CRISP-DM
  • Visualising data
  • k-Nearest Neighbour
  • Naïve Bayes
  • Linear Regression
  • Decision Trees
  • Unsupervised Learning:
    Clustering
    – Hierarchical
    – K means
    Association Mining
    – Market Basket Analysis
  • Bias vs Variance (Underfitting vs Overfitting)
  • Split and cross validation
  • Evaluation methods & performance criteria
  • Scoring models

Machine Learning Master

A$990 + gst

2 – 5pm AEST, 9 & 10 Sep, 2021

Course outline:

  • Introduction and business scenario
  • Logistic Regression
  • Bagging, Random Forest and GBM
  • Ensemble methods
  • Support Vector Machines
  • Neural Networks
  • Deep Learning
  • Outlier Detection
  • Advanced performance criteria
  • ROC plots – Comparison between Models
  • Feature Selection: Forward Selection, Backward Elimination
  • Feature engineering
  • Performance (Cost) Model Optimization
  • Model Deployment & monitoring

Questions, more info or request a quote?