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In this course, you will :
- Learn about AI, machine learning, and model building.
- Understand the steps necessary to construct your first model.
- Examine Subex HyperSense's AI Studio in action.
- Use cases are used to demonstrate AI Studio configuration.
Syllabus :
1. Introduction to Data Science and Elements in Data Science
- Introduction to AI/ML
- Exploratory Data Analysis (EDA)
- Predictive Machine Overview
2. Building your first ML Model on HyperSense AI Studio
- Data Science workflow
- Data Preparation
- EDA & Feature Synthesis
- Feature Selection
- Model Training
- Model Evaluation
3. Introduction to HyperSense AI Studio
- HyperSense - AI Studio Overview
- Demo - Demand Forecasting using regression
- Demo - Network Intrusion Detection Model
