Assist to solve complex problems in real-life situations
To learn the nature of data and model the relationships between inputs and outputs that are nonlinear and complex
To generalize and inferences; reveal hidden relationships, patterns, and predictions; and model highly volatile data (such as financial time series data) and variances needed to predict rare events (such as fraud detection)
Course Contents
Introduction to Python Data Analytics & Its Applications
Introduction to machine learning (ML) & artificial intelligence (AI)
Decision Trees
Random Forest
Time Series
Human Brain to Neural Network
Comparative study between human neural network (HNN) and artificial neural network (ANN