Edoxi's 40–60 hour online Python Machine Learning Course is designed to build your career in Machine Learning or AI.
Whether you're just starting or aiming to upskill, this course equips you with the essential skills to apply Python effectively in machine learning. During the course, you will learn about core machine learning concepts and build AI models.
This flexible, expert-led course blends core theory with practical training to help you gain real-world experience in Machine Learning Using Python.
You'll begin with Python basics and move into core machine learning topics, including regression, classification, clustering, and deep learning.
You'll also explore advanced areas like Natural Language Processing (NLP) and work with popular tools and libraries such as Scikit-learn, TensorFlow, Keras, Pandas, NumPy, and Jupyter Notebook.
The Python Machine Learning Training includes:
By the end of this Python Machine Learning Certification, you'll not only understand how to build and optimise ML models, but you’ll also have a job-ready portfolio to showcase your skills to employers in industries like tech, healthcare, finance, and e-commerce.
Start your journey with this globally recognised Python Machine Learning Course today. Enrol now and future-proof your career!
You’ll learn everything from Python basics to Machine Learning, NLP, and Deep Learning– step by step, with real-world examples.
You’ll learn to use popular tools like Jupyter Notebook and Spyder to write, test, and debug your code with expert guidance throughout.
You can get comfortable with essential data science tools like NumPy, Pandas, Matplotlib, and Seaborn for data handling and visualisation.
You may work on practical projects like price prediction and customer segmentation to show employers what you can do.
You will join live coding sessions, group discussions, and hands-on labs using tools like TensorFlow and Scikit-learn.
You’ll choose schedules that work for you– weekends, evenings, or fully online. The course is designed to fit around your life and goals.
If you’re new to coding or ML, this course gives you a friendly, structured way to start from scratch.
Perfect if you’ve got basic programming knowledge and want to explore a career in AI, Data Science, or Machine Learning.
Use your existing tech skills to move into machine learning, and learn how to build and deploy ML solutions.
Ideal for developers looking to specialise in ML and integrate intelligent algorithms into applications.
If you work with large datasets, this course helps you apply ML for predictions, customer insights, and data-driven decisions.
Learn how to use ML techniques to detect threats, analyse risks, and improve security outcomes.
In our Python Machine Learning Course, you won’t just learn theory, you’ll build real projects that show you how machine learning works in the real world. Whether you’re starting with Python or diving straight into Machine Learning, this course gives you practical experience that employers look for. All projects are guided by industry experts, and you'll complete your course with a job-ready portfolio. These projects are designed to help you practice what you learn and apply it confidently in real-world scenarios across tech, healthcare, finance, e-commerce, and more.
Build a linear regression model to predict property prices based on location, size, and other features. A great way to apply supervised learning in a real estate scenario.
Use K-Means Clustering to group customers by shopping patterns and learn how unsupervised learning drives personalised marketing.
Apply logistic regression on the Titanic dataset to predict survival chances– a classic classification problem that teaches real-world data handling.
Join interactive sessions where you’ll improve your code, learn to fix bugs, and optimise ML models with expert guidance.
Collaborate with fellow learners to design, train, and refine machine learning models–mirroring how teams work in real jobs.
Use Matplotlib and Seaborn to create stunning charts that explain your model's outcomes clearly and effectively.
Create and fine-tune models that predict results like sales, prices, or demand using Python libraries such as scikit-learn and Pandas.
Build smart models that categorise data, such as email spam detection or medical test results, using Python and ML algorithms.
Whether you're just starting or looking to upskill, this Python Machine Learning course is designed to take you from the basics to advanced concepts. By the end, you'll be ready to apply machine learning in real-world scenarios and pursue high-demand roles across industries.
Get expert assistance in getting your Machine Learning Course customised!
Here’s a four-step guide to becoming a certified Machine Learning professional.
Join Edoxi’s Machine Learning Course
Whether you're a beginner or an experienced professional, Edoxi’s Machine Learning with Python course is designed to help you grow confidently in today’s data-driven world. Here’s why learners across the globe choose Edoxi:
You’ll start with the basics of Python, learning key syntax and libraries before moving into machine learning. Therefore, no prior coding experience is required.
You’ll get practical experience with tools like Jupyter Notebook, Spyder IDE, Scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib, and Seaborn.
You’ll participate in live coding sessions, debugging tasks, and receive one-on-one guidance to help you apply what you learn effectively.
You’ll work on industry-relevant projects like house price prediction and customer segmentation using real datasets to build a job-ready portfolio.
You can choose a learning schedule that fits your routine–perfect if you’re working or studying. You can receive additional support in Python and maths whenever needed.
You'll earn a Python Machine Learning Course completion certificate that enhances your career prospects in AI, Data Science, and Business Analytics.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Jothi Kumar
Jothi is a Microsoft-certified technology specialist with more than 12 years of experience in software development for a broad range of industry applications. She has incomparable prowess in a vast grouping of software development tools like Microsoft Visual Basic, C#, .NET, SQL, XML, HTML, Core Java and Python.
Jothi has a keen eye for UNIX/LINUX-based technologies which form the backbone of all the free and open-source software movement. As a Big data expert, Jothi has experience using several components of the Hadoop ecosystem, including Hadoop Map Reduce, HDFS, HIVE, PIG, and HBase. She is well-versed in the latest technologies of information technology such as Data Analytics, Data Science and Machine Learning.
Here is the list of other major locations where Edoxi offers Machine Learning Course
TensorFlow is ideal for deploying scalable, production-ready models, thanks to its robustness. PyTorch offers a more flexible, user-friendly environment, perfect for research and experimentation.
Choose TensorFlow when deploying apps at scale, and PyTorch for fast development and prototyping.
