Machine Learning

IIHT’s Machine Learning course is designed to help learners have a deep understanding of machine learning theory and understand how predictive models are run by systems to forecast behavior and trends using existing data.

Learners will be able to evaluate machine learning algorithms and build various machine learning models and implement various regression techniques. Upon completing the course learners will gain a thorough understanding of the concepts, enabling them to analyse data to predict outcomes.

Learning Outcomes:

• Expert in building Machine Learning Models
• Implementing Linear and Logistic Regression to predict outcomes
• Evaluate Machine Learning Algorithms
• Expert knowledge in going from observations to concluding about items target value
• Forecast behavior and trends using existing data
• Evaluate machine learning algorithms
• Build and implement various regression techniques