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Machine Learning Certification Training using Python

CertOcean's Machine Learning Certification Training using Python training is a live, instructor-led online course. You learn in 18 live sessions (36 hours in total) with an expert instructor, work through 11 curriculum modules with hands-on assignments and keep lifetime access to the class recordings.

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  • 36 hoursLive training
  • 18 sessionsWith an instructor
  • 11 modules82 topics
  • Mon, Oct 26Next batch
ML Machine LearningLive instructor-led training
$399 $449 One-time · USD
You save$5011% off
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Course overview

About the Machine Learning Certification Training using Python training

Machine learning with Python training teaches you to build models that learn from data, using Python libraries such as NumPy, pandas, scikit-learn and Matplotlib.

Why learn machine learning with Python?

  • Data scientists and machine learning engineers are among the best-paid roles in tech.
  • Machine learning skills can lead to senior roles that drive business decisions with data.
  • More and more businesses need people who can turn their data into predictions.

This course includes

  • Instructor-led live classes36 hours of live online classes. Weekend batch: 12 sessions of 3 hours each. Weekday batch: 18 sessions of 2 hours each.
  • Real-life case studiesWork on a live project based on one of the selected machine learning use cases in Python.
  • AssignmentsEvery class is followed by hands-on practice.
  • Lifetime accessKeep lifetime access to all course material, including presentations, quizzes, installation guides and class recordings.
  • 24/7 expert supportOur support team is available 24x7 to answer technical questions.
  • CertificationComplete the final project to receive CertOcean's Machine Learning with Python certificate.

What you'll learn in this course

  • Extract, wrangle and visualize data with Python
  • Understand machine learning and its main types
  • Build supervised models such as regression, decision trees, random forest and Naive Bayes
  • Reduce dimensions with PCA and group data with clustering
  • Build recommendation systems and learn the basics of reinforcement learning
  • Analyze time series and improve models with model selection and boosting

What is machine learning certification training using Python?

Machine learning certification training using Python is a course that teaches you how machine learning works and how to build models in Python. CertOcean's course explains why machine learning matters, how to implement it in Python, and how reinforcement learning fits into artificial intelligence. You apply machine learning algorithms to real-life scenarios throughout the course.

Why learn machine learning with Python?

Python is the most popular language for machine learning, with mature libraries for every step. Learning machine learning in Python teaches you the data science techniques that let computers learn from data, including data preprocessing, dimensionality reduction and model evaluation, and gives you hands-on experience with regression, clustering, decision trees, random forest, Naive Bayes and Q-learning.

What are the objectives of machine learning with Python training?

After this course, you will be able to:

  • Understand the role of a machine learning professional
  • Analyze data with Python
  • Explain what machine learning is
  • Work with real-time data
  • Use tools and techniques for predictive modeling
  • Explain machine learning algorithms, how to implement them and where to apply them
  • Validate machine learning models
  • Explain time series analysis

Who should take this course?

  • Developers who want to become machine learning engineers
  • Analytics managers who lead teams of analysts
  • Business analysts who want to learn machine learning techniques
  • Information architects who want expertise in predictive analytics
  • Python professionals who want to build automated predictive models
Curriculum

Machine Learning Certification Training using Python course syllabus

11 modules · 82 topics · 36 hours of live training

Introduction to Data Science 8 topics
  • Learning goal: Understand how data science uses different tools to analyze large and unstructured data.
  • What data science is
  • What data science involves
  • The era of data science
  • Business intelligence vs. data science
  • The data science life cycle
  • Data science tools
  • Introduction to Python
Data Extraction, Wrangling and Visualization 8 topics
  • Learning goal: Extract data, turn it into structured data and visualize it.
  • The data analysis pipeline
  • What data extraction is
  • Types of data
  • Raw and processed data
  • Data wrangling
  • Exploratory data analysis
  • Data visualization
Introduction to Machine Learning with Python 8 topics
  • Learning goal: Learn what machine learning is, its main types and your first algorithms.
  • Python refresher: NumPy, pandas, scikit-learn and Matplotlib
  • What machine learning is
  • Machine learning use cases
  • The machine learning process
  • Types of machine learning
  • Linear regression
  • Gradient descent
Supervised Learning I 8 topics
  • Learning goal: Learn supervised classification with logistic regression, decision trees and random forest.
  • What classification is and its use cases
  • Logistic regression
  • What a decision tree is
  • The decision tree induction algorithm
  • Building a good decision tree
  • The confusion matrix
  • What random forest is
Dimensionality Reduction 7 topics
  • Learning goal: Understand how the number of dimensions affects your data and reduce it with PCA and related methods.
  • Introduction to dimensionality
  • Why reduce dimensions
  • Principal component analysis (PCA)
  • Factor analysis
  • Multidimensional scaling (MDS)
  • Linear discriminant analysis (LDA)
Supervised Learning II 7 topics
  • Learning goal: Build Naive Bayes and support vector machine classifiers and tune their hyperparameters.
  • What Naive Bayes is and how it works
  • Building a Naive Bayes classifier
  • What a support vector machine (SVM) is and how it works
  • Hyperparameter optimization
  • Grid search vs. random search
  • Building an SVM for classification
Unsupervised Learning 6 topics
  • Learning goal: Use the main types of clustering to analyze data.
  • What clustering is and its use cases
  • What K-means clustering is and how it works
  • Finding the optimal number of clusters
  • What C-means (fuzzy) clustering is
  • What hierarchical clustering is and how it works
Association Rule Mining and Recommendation Systems 7 topics
  • Learning goal: Define association rules and build recommendation engines in Python.
  • What association rules are
  • Association rule parameters: support, confidence and lift
  • Calculating association rule parameters
  • Recommendation engines and how they work
  • Collaborative filtering
  • Content-based filtering
Reinforcement Learning 8 topics
  • Learning goal: Understand reinforcement learning and the Markov decision process.
  • What reinforcement learning is and why it matters
  • Elements of reinforcement learning
  • The exploration vs. exploitation dilemma
  • The epsilon-greedy algorithm
  • The Markov decision process (MDP)
  • Q values and V values
  • Q-learning
Time Series Analysis 8 topics
  • Learning goal: Analyze time series data and build ARIMA models.
  • What time series analysis is and why it matters
  • Components of a time series
  • White noise
  • AR, MA and ARMA models
  • ARIMA models
  • Stationarity
  • ACF and PACF
Model Selection and Boosting 7 topics
  • Learning goal: Select the best model with cross-validation and improve accuracy with boosting.
  • What model selection is and why it matters
  • Cross-validation
  • What boosting is
  • How boosting algorithms work
  • Types of boosting algorithms
  • Adaptive boosting (AdaBoost)

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Upcoming batches

Next Machine Learning Certification Training using Python batches

Live online classes with an instructor, 9:00 AM to 5:00 PM Eastern Time (ET).

Weekday batch

Starts Monday, October 26

Starts tomorrow · Live online

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Weekend batch

Starts Saturday, October 31

Starts in 6 days · Live online

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Sample certificate
Certification

Earn your Machine Learning Certification Training using Python certificate

  • Certificate of completionIssued by CertOcean when you finish the training and assignments.
  • Show it to employersAdd it to your LinkedIn profile and resume.
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Learner reviews

Why learners choose CertOcean

Rated Excellent · 4.9 out of 5 on Trustpilot
The training curriculum was great. CertOcean provided me everything required to obtain my CISM. They're excellent!
Laxmi Haya Vadan KaramcheduUnited States · CISMVerified
Very resourceful company, I passed my PMP exam at first attempt, highly recommended.
IjeomaCanada · PMPVerified
Great training support! Helped me pass several certifications.
Cozumel TyUnited StatesVerified
  • US, Canada and UK hoursClasses set around your working day
  • Expert instructorsWorking professionals in your field
  • Career supportResume and interview help
FAQ

Machine Learning Certification Training using Python course FAQs

Can't find your answer? A course advisor can help with the syllabus, batch dates and exam questions.

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How much does the Machine Learning Certification Training using Python course cost?

The Machine Learning Certification Training using Python training costs $399, down from the regular $449 (you save 11%). It is a one-time payment in US dollars, and you can pay securely by card or PayPal.

How long is the Machine Learning Certification Training using Python course, and when does it start?

The course runs for 36 hours of live, instructor-led online training across 18 sessions. Weekend and weekday batches are available, and the next batch starts on Monday, October 26, 2026.

What are the prerequisites for machine learning with Python training?

There are no prerequisites. You only need a laptop and a good internet connection.

What will I get from this machine learning course?

You get practical knowledge of machine learning algorithms in Python, hands-on project experience and a CertOcean certificate that shows you completed the training.

Can complete beginners take this course?

Yes. Even if you have never programmed, you can take this course. We cover the Python you need along the way.

Will I get a certificate after the Machine Learning Certification Training using Python training?

Yes. You receive a CertOcean certificate of completion when you finish the training.

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