Certified Machine Learning Expert (CMLE)

Learn Online    5-day / 40 Hour  International Certification

20 – 24 Sep 2021 I  18 – 22 Oct 2021  9.30am – 5.30pm  

Learn Online   

5-day / 40 Hour

 International Certification

20 – 24 Sep 2021 I  18 – 22 Oct 2021 

 9.30am – 5.30pm 

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

Who Should Attend?

  • Data Analyst
  • Finance Analyst
  • HR Analyst
  • System Analyst
  • CIO
  • Anyone who are interested in pursuing a career in the areas of Artificial Intelligence / Machine Learning

Programme Details

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

  • What is Artificial Intelligence (AI)
  • Concepts of machine learning
  • Data and machine learning
  • Real world applications of machine learning
  • How machine learning works
  • Concept of Classification
  • Supervised and Unsupervised Classification
  • Decision Tree Classification
  • Random Forest Classification
  • Naive Bayes Classification
  • Support Vector Machine
  • Cluster Analysis
  • Hierarchical Clustering
  • K-Means Clustering
  • 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
  • Concept of Regression Modelling
  • Modelling Stages
  • Simple linear Regression
  • Multiple Linear Regression
  • Refining the Model
  • Model Validation and Prediction
  • Logistic Regression
  • Model Evaluation and Comparison
  • Parameters to Evaluate the Model Accuracy
  • Selection of Right Parameters for a Model
  • Bar Chart
  • Pie Chart
  • Trend Chart
  • Histogram
  • Box Plot
  • Scattered Plot & Correlation
  • Other Chart
  • Concepts of Association Rules
  • Market Basket Analysis (MBA)
  • Support, Confidence & Lift
  • Other Techniques of Association
  • Application of Association
  • Understanding Learning Representation of Data
  • Fundamentals of Deep Learning
  • How Deep Learning Works
  • Deep Learning and Its Application
  • Future of Deep Learning
  • What is Artificial Intelligence (AI)
  • Concepts of machine learning
  • Data and machine learning
  • Real world applications of machine learning
  • How machine learning works
  • 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
  • Bar Chart
  • Pie Chart
  • Trend Chart
  • Histogram
  • Box Plot
  • Scattered Plot & Correlation
  • Other Chart
  • Concept of Classification
  • Supervised and Unsupervised Classification
  • Decision Tree Classification
  • Random Forest Classification
  • Naive Bayes Classification
  • Support Vector Machine
  • Concept of Regression Modelling
  • Modelling Stages
  • Simple linear Regression
  • Multiple Linear Regression
  • Refining the Model
  • Model Validation and Prediction
  • Logistic Regression
  • Concepts of Association Rules
  • Market Basket Analysis (MBA)
  • Support, Confidence & Lift
  • Other Techniques of Association
  • Application of Association
  • Cluster Analysis
  • Hierarchical Clustering
  • K-Means Clustering
  • Model Evaluation and Comparison
  • Parameters to Evaluate the Model Accuracy
  • Selection of Right Parameters for a Model
  • Understanding Learning Representation of Data
  • Fundamentals of Deep Learning
  • How Deep Learning Works
  • Deep Learning and Its Application
  • Future of Deep Learning

HRDF

All our training programs are HRDF approved, under the “SBL-Khas” scheme. Fee will be paid by PSMB to REDtone on behalf of employers. No upfront payment is required from the participants. For more information, please visit www.hrdf.com.my

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