Certified Machine Learning Master Training

4.5 of 5 stars
Certified Machine Learning Master Training

Original price was: €699.00.Current price is: €349.00.

Are you ready to take your machine-learning expertise to the next level? Look no further than the GSDC Certified Machine Learning Master (CMLM) certification! Not only does this certification showcase your advanced skills and practical knowledge in applying machine learning techniques, but it also sets you apart as a competitive player in the world of data science.


And here’s some exciting news: you can now get certified through Training Estonia in Estonia, Latvia, and Lithuania! With top-notch trainers and state-of-the-art facilities, Training Estonia is the perfect place to enhance your machine-learning skills and gain a leg up in your career.


So what are you waiting for? Join the ranks of the CMLM and take advantage of the exciting career opportunities that await you. Stay ahead in the rapidly evolving field of data science and make a meaningful impact in the ever-expanding landscape of technology and analytics. And remember, when it comes to machine learning training, Training Estonia has got you covered!

Sample Certificate

What is Included

Expert Curated E-Learning

Learn from the best

Practice Exams

Mocks curated by SME’s will help you to pass final certification exam.


Certify your achievement with a globally valid certification.

30 Days Money Back Guarantee!


  • 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.


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


  • IT Professionals
  • Software Developers
  • Process Managers
  • Application Developers
  • Project Managers
  • Data Analysis Professionals
  • Web Developers


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


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

Exam Details

  • 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.

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About Training Estonia

As an Authorized Training Partner proudly associated with the Global Skills Development Council (GSDC), we at Training Estonia have over 27 years of experience empowering individuals and organizations through customized IT education. 

We get to know each learner, understand their goals, and create tailored training plans that provide cutting-edge skills aligned with the latest technologies. 

With certifications from the globally recognized GSDC and training from experts affiliated with institutions like Harvard, our learners are equipped with future-ready skillsets that allow them to advance their careers and businesses. We invite driven, ambitious learners to get in touch to see firsthand how our strategic approach unlocks their full potential.

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