Date: Mon. 26 & Tue. 27 April

Schedule:
9:15 – 10:30am  – Session 1
10:30 – 10:45am Break
10:45 – 12:00pm  – Session 2

Duration: 2.5 hours online x 2 sessions

Pricing: Early bird A$990 + gst (After 31 March, A$1,250 + gst)

Learn how to prepare data for modelling, build strong predictive models, evaluate model quality with respect to different performance criteria and select best model(s).

Who will Benefit: Business analysts, advanced analysts, quants and data scientists.

Course outline:

• Introduction and business scenario
• CRISP-DM
• User interface
• Creating and managing repositories
• Loading data and summary statistics
• Visualising data
• Data preparation, handling missing values, normalisation, etc
• k-Nearest Neighbour
• Naïve Bayes
• Linear Regression
• Tree based methods, including bagging, random forest and GBM
• Ensemble modelling
• Bias, Variance, Overfitting and Underfitting
• Split and cross validation
• Evaluation methods & performance criteria
• Optimisation and parameter tuning
• Scoring models