Duration
3 days
Tools- Tools which will be used are as follows-
- Python Anaconda Toolkit
- Basics of Python
- Working with Pandas, Numpy, Seaborn
- Jupyter Notebook
- Sci-Kit Learn Modules in Ananconda
- Regression
- Classification
- Clustering
Course Outline
- Intro to AI
- Types of AI
- AI Use cases
- Skills for AI professional
- AI, ML and DL
- Types of AI Applications
- What is Machine Learning and its application in delivering AI systems
- Main Types of Machine Learning
- Unsupervised Clustering
- Unsupervised Association Rule Mining
- Supervised Classification
- Supervised Regression
- Deep Learning
- Life Cycle of Machine Learning
- 4 Types of Analytics
- CRISP-DM Process
- Types of ML Scenarios
- Identification Framework for ML
- Data Preparation and Preprocessing for ML
- Data Structures for ML
- Data Manipulation for ML
- Data Filtering
- Dimensionality Reduction
- Visualization for ML
- Exploratory Analytics with Visualization
- Data Imputation
- Basic Testing needs for Machine Learning/AI systems
- What does AI testing mean
- Difference between AI testing and traditional testing
- Role of Metrics
- Test Life Cycle for machine learning
- Understanding usage of ML for Testing
- AI Based Test case automation and execution
- Automated Defect prediction using ML with Example
- AI Driven Testing Tools Ecosystem
- Unsupervised Clustering (Implemented in Python 3 SKLEarn)
- Basics of Clustering
- K-Means Clustering
- Clustering Metrics
- Inertia
- Unsupervised Association Rule Mining
- Basics of Association Rule Mining and Market Basket Analysis
- Metrics for association rule mining
- Support
- Confidence
- Supervised Classification(Implemented in Python 3 SKLearn)
- Basics of Classification
- Logistic Regression
- Classification Metrics
- Accuracy
- Supervised Regression (Implemented in Python 3 Sklearn)
- Basics of Regression
- Linear Regression
- Regression Evaluation Metrics
- Mean Absolute error
- Interpreting ML/DL models
- LIME Tool (Local Interpretable Model Agnostic Explanations)
Q/A
Programme scope, delivery arrangements and suitability are confirmed during enquiry.