Buy Now 800 400

Certified Machine Learning Master (CMLM)


The GSDC Certified Machine Learning Master (CMLM) certification is a high recognition of expertise in the field of machine learning.

This ML certification showcases your advanced skills and practical knowledge in applying machine learning techniques for data analysis, predictive modeling, and informed decision-making.

By successfully passing the rigorous GSDC certification exam, you gain a competitive edge in the fast-paced realm of data science.

Machine learning plays a vital role in today's world, driving innovation, revolutionizing industries, and shaping the future. 

As a certified machine learning professional, you demonstrate your ability to harness this transformative technology to uncover insights and deliver impactful solutions.

Whether you are a data scientist, software engineer, or business analyst, the CMLM certification establishes your credibility and opens up a world of exciting career opportunities. 

Stay ahead in the rapidly evolving field of data science with the GSDC Certified Machine Learning Master certification, and make a meaningful impact in the ever-expanding landscape of technology and analytics.

Talk to our Advisor


OBJECTIVES Of Machine Learning Certification

  1. Make data-driven decisions to drive business success.
  2. Validate mastery of various machine learning algorithms.
  3. Demonstrate proficiency in handling large and complex datasets.
  4. Showcase expertise in feature engineering and selection.
  5. Apply machine learning techniques to real-world scenarios.
  6. Utilize deep learning for complex pattern recognition.
  7. Machine learning approaches
  8. Employ ensemble methods for improved predictive accuracy.
  9. Collaborate with experts in the machine learning community.

TARGET AUDIENCES For Machine Learning Certification

IT Professionals

Software Developers

Process Managers

Application Developers

Project Managers

Data Analysis Professionals

Web Developers


BENEFITS Of Machine Learning Certification

Unlock higher earnings, showcase validated machine learning skills.

Stand out in applications with prestigious CMLM certification.

Lead ML projects, and demonstrate advanced skills and knowledge.

Stay at the forefront of ML advancements, and update expertise.

Solve complex business problems with cutting-edge techniques.

Establish credibility with employers and clients.

Enhance credibility and reputation.

Access exclusive job opportunities.

Stay updated with the latest trends.

Boost problem-solving and analytical skills.

Demonstrate commitment to professional growth.


PRE-REQUISITES For Machine Learning Certification

To become a Machine Learning Master it will be mandatory to have an understanding of statistics, programming, and machine learning.

Machine Learning Certification EXAMINATION

Multiple-choice exam of 40 marks.
You need to acquire 26+ marks to clear the exam.
In case the Participant failed then they will be free 2nd attempt.
Re-examination can be taken up to 30 days from the date of the 1st exam attempt.


Sample Certificate


Machine Learning Certification EXAM SYLLABUS

1. Introduction to Python Programming

  • Overview of Python
  • History of Python
  • Python Basics: variables, identifiers, indentation
  • Python data structures (dictionary, list, string, sets, and tuples)
  • Statements in Python (conditional, iterative, jump)
  • OOPS concepts
  • Exception Handling
  • Regular Expression

2. Introduction to various packages and related functions

  • Numpy, Pandas and Matplotlib
  • Pandas Module
  • Series
  • Data Frames
  • Numpy Module
  • Numpy arrays
  • Numpy operations
  • Matplotlib module
  • Plotting information
  • Bar Charts and Histogram
  • Box and Whisker Plots
  • Heatmap
  • Scatter Plots

3. Data Wrangling using Python

  • NumPy: Arrays
  • Data Operations (Selection, Append, Concat, Joins)
  • Univariate Analysis
  • Multivariate Analysis
  • Handling Missing Values
  • Handling Outliers

4. Introduction to Machine Learning with Python

  • What is Machine Learning?
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Basic Probability required for Machine Learning
  • Linear Algebra required for Machine Learning

5. Supervised Learning: Regression

  • Simple Linear Regression
  • Multiple Linear Regression
  • Assumptions of Linear Regression
  • Polynomial Regression
  • R2 and RMSE

6. Supervised Learning: Classification

  • Logistic Regression
  • Decision Trees
  • Random Forests
  • SVM
  • Naïve Bayes
  • Confusion Matrix

7. Dimensionality Reduction

  • PCA
  • Factor Analysis
  • LDA

8. Unsupervised Learning: Clustering

  • Types of Clustering
  • K-means Clustering
  • Agglomerative Clustering

9. Additional Performance Evaluation and Model Selection

  • AUC / ROC
  • Silhouette coefficient
  • Cross-Validation
  • Bagging
  • Boosting
  • Bias v/s Variance

10. Recommendation Engines

  • Need for recommendation engines
  • Types of Recommendation Engines
  • Content-Based
  • Collaborative Filtering

11. Association Rules Mining

  • What are Association Rules?
  • Association Rule Parameters
  • Apriori Algorithm
  • Market Basket Analysis

12. Time Series Analysis

  • What is Time Series Analysis?
  • Importance of TSA
  • Understanding Time Series Data
  • ARIMA analysis

13. Reinforcement Learning

  • Understanding Reinforcement Learning
  • Algorithms associated with RL
  • Q-Learning Model
  • Introduction to Artificial Intelligence

14. Artificial Neural Networks and Introduction to Deep Learning

  • History of Neural Network
  • Perceptron
  • Forward Propagation
  • Introduction to Deep Learning


The Global Skill Development Council (GSDC) is an independent, vendor-neutral, international credentialing and certification organization for the emerging technologies:

  • Advisory board members and SMEs are from around the world, drawn from different specializations.
  • Supported by the world's most esteemed thought leaders from Yale, MIT, Stanford, Wharton, and Harvard.
  • Hub of Trending Technologies and framework certifications.
  • Content curated by Industry's best Subject matter experts.
  • Webinars and Conferences.
  • Training Partners Across The Globe.
Update cookies preferences