LEARN Onsite @ Singapore - Certified Machine Learning Expert (CMLE)

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LEARN Onsite @ Singapore - Certified Machine Learning Expert (CMLE)

Acquire advanced knowledge on how to use Python Programming to apply powerful Artificial Intelligence / Machine Learning techniques

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1 Fullerton Rd 1 Fullerton Road Singapore, 049213 Singapore

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About this event

For more information: www.casugol.com/dae

International Acclaimed Certification. 5-Star Reviews

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

Duration: 4 Day / 32 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 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.

Pre-Requisite

No pre-requisite. Certified Machine Learning Expert (CMLE) is suitable for everyone.

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

Module 1

Introduction to AI and Machine Learning

  • What is Artificial Intelligence (AI)
  • Concepts of machine learning
  • Data and machine learning
  • Real world applications of machine learning
  • How machine learning works

Module 2

Data Structures & Managing Data Using Python

  • Data and Data Types
  • Deep Dive into Python
  • Data Types
  • Variable Operators in Python
  • 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

Module 3

Exploring Data Using Python

  • Bar Chart
  • Pie Chart
  • Trend Chart
  • Histogram
  • Box Plot
  • Scattered Plot & Correlation
  • Other Chart

Module 4

  • Basic Classification Models & Techniques
  • Concept of Classification
  • Supervised and Unsupervised Classification
  • Decision Tree Classification
  • Random Forest Classification
  • Naive Bayes Classification
  • Support Vector Machine

Module 5

Regression Methods and Forecasting

  • Concept of Regression Modelling
  • Modelling Stages
  • Simple linear Regression
  • Multiple Linear Regression
  • Refining the Model
  • Model Validation and Prediction
  • Logistic Regression

Module 6

Finding Data Patterns Using Association Rules

  • Concepts of Association Rules
  • Market Basket Analysis (MBA)
  • Support, Confidence & Lift
  • Other Techniques of Association
  • Application of Association

Module 7

K-Means Clustering

  • Cluster Analysis
  • Hierarchical Clustering
  • K-Means Clustering

Module 8

Evaluating and Improving Model Performance

  • Model Evaluation and Comparison
  • Parameters to Evaluate the Model Accuracy
  • Selection of Right Parameters for a Model

Module 9

Deep Dive Into Deep Learning

  • Understanding Learning Representation of Data
  • Fundamentals of Deep Learning
  • How Deep Learning Works
  • Deep Learning and Its Application
  • Future of Deep Learning

Certified Machine Learning Expert (CMLE) involves rigorous usage of real-time case studies, hands-on exercises and group discussion