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Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
In this four-week course, you will dive into the basics of machine learning using python; a well-known programming language. Get introduced to data exploration and discover the various machine learning approaches like supervised and unsupervised learning, regression, and classifications and more.
..... Read more34+ Hours of Instructor-Led Sessions
80 Hours of Assignments and MCQs
45 Hours of Hands-On Practice
10 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
Data Science has bagged the top spot in LinkedIn’s Emerging Jobs Report for the last three years. Thousands of companies need team members who can transform data sets into strategic forecasts. Acquire the complete machine learning course with Python skills and meet that need.
..... Read moreNot sure how to get started? Let our Learning Advisor help you.
Learning objectives
In this module, you will learn the basics of statistics including:
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In the Python for Machine Learning module, you will learn how to work with data using Python:
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Get introduced to Applied Machine Learning in Python via real-life examples and the multiple ways in which it affects our society. You will learn:
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Gain an understanding of various optimisation techniques such as:
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In this module you will learn about Linear and Logistic Regression with Stochastic Gradient Descent via real-life case studies
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Learn about unsupervised learning techniques:
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Learn the ensemble techniques which enable you to build machine learning models including:
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Learn to build recommendation systems. You will learn about:
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KnowledgeHut’s Machine Learning with Python certification Course is one of the best machine learning with python courses. This course is focused on helping professionals gain industry-relevant Machine Learning expertise. The curriculum has been designed to help professionals land lucrative jobs across industries. At the end of the course, you will be able to:
Learn Machine Learning with Python through a curriculum designed to suit all levels of Machine Learning expertise. From the fundamentals to the advanced concepts in Machine Learning, the course covers everything you need to know, whether you’re a novice or an expert.
To facilitate development of practical machine learning with python skills, the training adopts an applied learning approach with instructor-led training, hands-on exercises, projects, and activities.
This immersive and interactive workshop with an industry-relevant curriculum, capstone project, and guided mentorship is your chance to launch a career as a Machine Learning expert. The Machine Learning with Python syllabus is split into easily comprehensible modules that cover the latest advancements in ML and Python. The initial modules focus on the technical aspects of becoming a Machine Learning expert. The succeeding modules introduce Python, its best practices, and how it is used in Machine Learning.
The final modules deep dive into Machine Learning and take learners through the learners through machine learning algorithms in python, types of data, and more. In addition to following a practical and problem-solving approach, the curriculum also follows a reason-based learning approach by incorporating case studies, examples, and real-world cases, all in all making it the best machine learning with python course.
Yes, our Machine Learning with Python certification course is designed to offer flexibility for you to upskill as per your convenience. We have both weekday and weekend batches to accommodate your current job.
The complete Machine Learning Course with Python requires daily training hours. In addition to the training hours, we recommend spending about 2 hours every day, for the duration of the course.
There are no prerequisites for attending this Machine Learning with Python certification course, however prior knowledge of elementary Python programming and statistics could prove to be handy.
To attend the complete Machine Learning with Python training program, the basic hardware and software requirements are as mentioned below -
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On adequately completing all aspects of the Machine Learning with Python course, you will be offered a course completion certificate from KnowledgeHut.
In addition, you will get to showcase your advanced Machine Learning with Python skills by working on live projects, thus, adding value to your portfolio. The assignments and module-level projects further enrich your learning experience. You also get the opportunity to practice your new knowledge and skillset on independent capstone projects.
Our introduction to Machine Learning with Python course will give you an opportunity to work on a capstone project. The project is based on real-life scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a Machine Learning project in the real business world.
Learn Machine Learning with Python at KnowledgeHut which is delivered through PRISM, our immersive learning experience platform, via instructor-led training sessions.
Listen, learn, ask questions, and get all your doubts clarified from your instructor, who is an experienced Data Science and Machine Learning industry expert.
The Machine Learning with Python course is delivered by leading practitioners who bring trending, best practices, and case studies from their experience to the training sessions. The instructors are industry-recognized experts with over 10 years of experience in Machine Learning.
The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.
Our Machine Learning with Python workshops are currently held online. So, anyone with a stable internet, from anywhere across the world, can access the course and benefit from it.
Schedules for our upcoming workshops in Machine Learning with Python can be found here.
We currently use the Zoom platform for video conferencing. We will also be adding more integrations with Webex and Microsoft Teams. However, all the sessions and recordings will be available right from within our learning platform. Learners will not have to wait for any notifications or links or install any additional software.
You will receive a registration link from PRISM to your e-mail id. You will have to visit the link and set your password. After which, you can log in to our Immersive Learning Experience platform and start your educational journey.
Yes, there are other participants who actively participate in the class. They remotely attend online training from office, home, or any place of their choosing.
In case of any queries, our support team is available to you 24/7 via the Help and Support section on PRISM. You can also reach out to your workshop manager via group messenger.
If you miss a class, you can access the class recordings from PRISM at any time. At the beginning of every session, there will be a 10-12-minute recapitulation of the previous class.
Should you have any more questions, please raise a ticket or email us on support@knowledgehut.com and we will be happy to get back to you.
Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
Learn theory backed by real-world practical case studies and exercises. Skill up and get productive from the get-go.
Get trained by leading practitioners who share best practices from their experience across industries.
Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.
Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!
Six months of post-training mentor guidance to overcome challenges in your Data Science career.
Learn about the various libraries offered by Python to manipulate, preprocess, and visualize data.
Learn Machine Learning with Python, including Supervised and Unsupervised Machine Learning.
Learn to use optimization techniques to find the minimum error in your Machine Learning model.
Learn about Linear and Logistic Regression, KNN Classification and Bayesian Classifiers.
Study K-means Clustering and Hierarchical Clustering.
Learn to use multiple learning algorithms to obtain better predictive performance .
Understand Neural Network and apply them to classify image and perform sentiment analysis.
Sydney has transformed from a colonial outpost to a major economic and cultural center in not only Australia but in the world. Sydney’s advanced market economy is a contribution of diverse sectors, such as manufacturing, tourism, and finance. The technology sector also has a contribution in the phenomenal transformation of the city. To find growth opportunities in the city’s IT sector, register for the data analysis training using Python in Sydney. This course is beneficial for software developers, programmers, web masters, and anyone who wants to get a thorough understanding of Python and its role in data analysis and machine learning.
Python is a fast-growing programming language that allows clear programs on both small and large scales. Top programmers and developers consider Python a language of choice. Its ease of learning and simplicity in use make it so popular around the world, in turn making the data analysis using Python course in Sydneya popular training for skill development.
A New Alternative
Python has various design features that highlight clarity of syntax, easy comprehension, and easy readability, making it an integral part of data analysis and machine learning. The machine learning training using Python is an online training offered by KnowledgeHut that is structured to help you understand the importance of Python and its packages in data analysis. You will learn the various aspects of Python packages essential for data analysis solutions. Some of those aspects include different types of plots in Matplotlib, signal and image processing in Spicy and Numpy, model selection in scikit-learn, and vectorized string operations in Pandas. We make machine learning using Python course in Sydney, a comprehensive training course, at the end of which you will receive a course completion certification.
Keeping Ahead of the Curve
The data analysis using Python course in Sydney includes hands-on assignments and project work on data analysis scenarios that make learning easy and fun. The certified instructors and industry experts delivering the training reinforce the concepts taught in the online classes through interactive sessions. By the end of the course, you will be aware of the techniques of using Python packages such as Pandas, Spicy, and Numpy for data analysis and modelling. You can use your knowledge of the analytics libraries with Hadoop ecosystems. You will have appropriate strategies when you are faced with scenarios involving reducing data dimensions or selecting the right data models.
KnowledgeHut Empowers You
When you register on KnowledgeHut, you can be sure that you will get a compete learning experience. You will get access to e-learning material, a downloadable e-book, and a copy of the slide deck online.