Mode of delivery: Instructor-led classroom or online training
Duration: 40 hours
Course Curriculum
Machine Learning
- Introduction and History
- Techniques and Algorithms
- Data Processing and Preparation
- Supervised and Un-Supervised Learning
- Applications of Machine Learning
Regression Techniques
- Linear Regression
- Logistic Regression
Classification Techniques
- Artificial Neural Networks (ANN)
- K-Nearest Neighbors (KNN)
- Decision Tree