Certified Machine Learning Expert (CMLE) Using Python - Onsite @ Singapore

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Certified Machine Learning Expert (CMLE) Using Python - Onsite @ Singapore

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

When and where

Date and time

Location

One Fullerton 1 Fullerton Road Singapore, 049213 Singapore

Map and directions

How to get there

Refund Policy

Contact the organizer to request a refund.

About this event

  • 3 days 8 hours
  • Mobile eTicket

For more information: www.casugol.com/cmle

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 is 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 the course. This exam tests a candidate’s knowledge and skills related to Artificial Intelligence and Machine Learning based on the syllabus covered

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

Course Outline

Module 1 Introduction to AI and Machine Learning

Topics Covered

  • 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

Topics Covered

  • 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

Topics Covered

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

Module 4 Basic Classification Models & Techniques

Topics Covered

  • 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

Topics Covered

  • 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

Topics Covered

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

Module 7 K-Means Clustering

Topics Covered

  • Cluster Analysis
  • Hierarchical Clustering
  • K-Means Clustering

Module 8 Evaluating and Improving Model Performance

Topics Covered

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

Module 9 Deep Dive Into Deep Learning

Topics Covered

  • Understanding the 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