Certified Machine Learning Expert (CMLE) Using Python x GEN AI @ Singapore

For more information: https://casugol.com/course/cmle

International Acclaimed Certification. 5-Star Reviews

Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.

• Duration: 16 Hours
• Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination

Course Objective

• Acquire advanced knowledge on how to use Gen AI x Python Programming to apply powerful Artificial Intelligence / Machine Learning techniques to gain real-world insight.
• Learn how to apply Artificial Intelligence / Machine Learning techniques to analyze and organize patterns, trends, and data to make accurate real-world predictions.

Examination

Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Artificial Intelligence, Machine Learning, and Python Programming based on the syllabus covered

Participants are expected to score a minimum of 70% to pass the examination

• What is Artificial Intelligence (AI)?
• Concepts of Machine Learning
• Data and Machine Learning
• Real-World Applications of Machine Learning
• How Machine Learning Works
• ChatGPT, Gen AI and the Future of Machine Learning

• Data and Data Types
• Deep Dive into Python Programming
• Variables and Operators in Python Programming
• Data Vectors and Data Frames
• Reading and Writing Data Files to Python
• Communicating with Database via Python
• Executing SQL Using Python
• Joining Structured & Semi Structured Data with Python
• Big Data Concepts & Application of Python

• Introduction to Exploratory Data Analysis
• Data Visualization using Python Matplotlib and Seaborn
• Plotting, Charting, and Data Representation
• Bar Chart, Pie Chart, Trend Chart
• Creating an Histogram
• Understanding the Application of Box Plot
• Scattered Plot and Correlations

• Introduction to Classification in Machine Learning and Its Application
• Supervised vs. Unsupervised Classification
• Deploying Classification Models Using Gen AI x Python
• What is Decision Tree Classification?
• Random Forest Classification
• Naive Bayes Classificaiton
• Support Vector Machine (SVM) Classification

• What is Regression Modelling?
• Different Stages of Modelling
• Deployment of Regression Models using Gen AI x Python
• Simple Linear Regression
• Multiple Linear Regression
• Refining the Model
• Model Validation and Prediction
• Logistic Regression
• Evaluating Logistic Regression using Confusion Matrix

• Introduction to Association Rules
• What is Market Basket Analysis (MBA)?
• Concepts of Support, Confidence, and Lift
• Techniques of Association
• Application of Association

• Deep Dive into Unsupervised Learning Models
• Deploying Clustering Models using Gen AI x Python
• Introduction to Cluster Analysis
• Hierarchical Clustering vs. K-Means Clustering

• Model Evaluation and Comparison
• Parameters to Evaluate the Model Accuracy
• Selection of Right Parameters for a Model
• Using ChatGPT x Python to Determine the Right Evaluation Model

• Understanding the Learning Representation of Data
• Fundamentals of Deep Learning
• How does Deep Learning Works
• Deep Learning and Its Application
• Gen AI, Neural Network, Natural Language Processing (NLP), Large Language Models (LLM)

Be Recognized as a CASUGOL Certified Professional

Add Value to your already prolific portfolio with a Certificate of Competency from CASUGOL.

Awarded upon completing and meeting all requirements of the course.

Host or Publisher CASUGOL