About This Course
Who Should attend: Students pursing graduation
Pre-requisites: Knowledge in any computer programming language
Course Outline:
• Introduction to AI
• Basic of Python and data handling with Python library Pandas,
Numpy
• Introduction to Descriptive Statistics
• Introduction to Machine Learning and Sklearn
• Introduction to Supervised & Unsupervised Learning Algorithms
• Predictive Analysis and transactions Dataset
• Introduction to Supervised Algorithms
• Regression, KNN, Decision tree
• Predictive Analysis Hands-on
• Project
Learning Objectives
Introduction to AI
• Basic of Python and data handling with Python library Pandas,
Numpy
• Introduction to Descriptive Statistics
• Introduction to Machine Learning and Sklearn
• Introduction to Supervised & Unsupervised Learning Algorithms
• Predictive Analysis and transactions Dataset
• Introduction to Supervised Algorithms
• Regression, KNN, Decision tree
• Predictive Analysis Hands-on
• Project
Requirements
- Knowledge in any computer programming language
Your Instructors
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