Upcoming Batch
15 to 19 Feb 2021
Online ‘Live’9:30am to 5:30pm
Singapore Timezone
5 Sessions / 40-Hours
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15 to 19 Mar 2021
Online ‘Live’9:30am to 5:30pm
Singapore Timezone
5 Sessions / 40 Hours
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19 to 23 May 2021
Online ‘Live’9:30am to 5:30pm
Singapore Timezone
5 Sessions / 40 Hours
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Course Information
- Duration: 5 Day / 40 Hours
- Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
- Who Should Attend: Data Analyst, Finance Analyst, HR Analyst, System Analyst, CIO, or Anyone who are interested in pursuing a career in the areas of Artificial Intelligence / Machine Learning
Course Objective
Acquire advanced knowledge on how to use Python to apply powerful Artificial Intelligence / Machine Learning techniques to gain real-world insight.
Learn how to use Python for Data Mining, Data Engineering, and apply Machine Learning algorithms to Analyze and Predict with Structured and Unstructured Data
Pre-Requisite
It is preferred that participants successfully completed and pass Data Analytics Essentials (DAE) or Python Programming Essentials (PPE)
Examination
Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Machine Learning and Python Programming based on the syllabus covered
Module 1
Introduction to AI and Machine Learning
Topics Covered
- What is Artificial Intelligence (AI)
- Concepts of machine learning
- Data and machine learning
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- Real world applications of machine learning
- How machine learning works
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Module 2
Data Structures & Managing Data Using Python
Topics Covered
- Data and Data Types
- Deep Dive into Python
- Data Types
- Variable Operators in Python
- Data Vectors and Data Frames
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- 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
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Module 3
Exploring Data Using Python
Topics Covered
- Bar Chart
- Pie Chart
- Trend Chart
- Histogram
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- Box Plot
- Scattered Plot & Correlation
- Other Chart
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Module 4
Basic Classification Models & Techniques
Topics Covered
- Concept of Classification
- Supervised and Unsupervised Classification
- Decision Tree Classification
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- Random Forest Classification
- Naive Bayes Classification
- Support Vector Machine
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Module 5
Regression Methods and Forecasting
Topics Covered
- Concept of Regression Modelling
- Modelling Stages
- Simple linear Regression
- Multiple Linear Regression
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- Refining the Model
- Model Validation and Prediction
- Logistic Regression
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Module 6
Finding Data Patterns Using Association Rules
Topics Covered
- Concepts of Association Rules
- Market Basket Analysis (MBA)
- Support, Confidence & Lift
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- Other Techniques of Association
- Application of Association
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Module 7
K-Means Clustering
Topics Covered
- Cluster Analysis
- Hierarchical Clustering
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Module 8
Evaluating and Improving Model Performance
Topics Covered
- Model Evaluation and Comparison
- Parameters to Evaluate the Model Accuracy
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- Selection of Right Parameters for a Model
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Module 9
Deep Dive Into Deep Learning
Topics Covered
- Understanding Learning Representation of Data
- Fundamentals of Deep Learning
- How Deep Learning Works
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- Deep Learning and Its Application
- Future of Deep Learning
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Certified Machine Learning Expert (CMLE) involves rigorous usage of real-time case studies, hands-on exercises and group discussion
What Past Participants Say
The examples and cases shared in class are delivered in a clear, structured and easy to understand manner. It provide me with confidence to kickstart my own Machine Learning project.
Falhuddin Bin Nurdin
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This course provide me with the detailed information required and essential tips how to explore more into the subject. The trainer is very helpful throughout the course. With his encouragement, I can understand the topics with ease even when I am not experience in programming.
Shalini Karthik
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Why CASUGOL
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Customization of Programs for specific industry, organisation, government agencies, statutory boards.
Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.
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Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.
Opportunities for employers to develop their workforce and for individuals to enhance their career.
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Dynamic learning environment that providing participants with professional networking opportunity.
Online support for participants after the training. |
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