34+ Hours of Instructor-Led Training
80 Hours of Assignments and MCQs
Practice with 45 Hours of Hands-On Exercises
Build a Portfolio of 10 Real-World Live Projects
Go from Fundamentals to an Advanced Level
Get Feedback with Code Reviews by Experts
Comprehensive Career Support with Job Boost 360 Program
In this four-week machine learning with Python training 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.
Practice exploring and visualising data using Python and built-in libraries like Pandas, Matplotlib and Scikit. Prepare yourself with sought-after Machine Learning with Python skills to add to your resume, such as regression, classification, clustering and scikit-learn. Learn Machine Learning with Python and add new projects to your portfolio.
Machine Learning and AI have taken the centre stage as more and more brands realise the possibilities of these tools in the post-COVID world. So, there will be a 30-35% increase in demand for roles such as Data Analysts, Data Scientists, Big Data Specialists, BI Analysts, Database and Network Professionals, and Data Engineers. Industries like Financial Services (31%), Retail and Wholesale of Consumer Goods (37%), and Supply Chain and Transportation (42%) will heavily invest in skilled resources.
Per the recent World Economic Forum's Future of Jobs Report, the demand for AI and Machine Learning specialists will grow by 40% in the near future, i.e., 1 million jobs. In fact, these are the fastest-growing jobs in the market currently and will grow the most by 2027. Thousands of companies need skilled talents who can transform data sets into strategic forecasts. Acquire the complete machine learning with Python programming certification skills and meet that need.
Capitalize on the demand for the ‘hottest job of the 21st century’ with a program primed for industry relevance.
Learning Objectives:
In this module, you will learn the basics of statistics including:
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Hands-on:
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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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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 .
Machine learning and AI have taken centre stage as more and more brands realise the possibilities of these tools in the post-COVID world. Per Gartner, AI/ML jobs are one of the most difficult to hire for recruiters. Additionally, according to the World Economic Forum, the demand for AI and machine learning professionals is projected to grow by 40%, or 1 million jobs, soon. So, it is easy to get hired if you equip yourself with the required ML skills.
Some of the benefits of learning through machine learning with Python full course include the following:
The following are some tips to help you learn basic Python skills:
Most of the knowledge providers you find online conduct machine learning with Python courses, R, or MATLAB. However, you must not learn machine learning with Python only. You can learn ML using programming languages such as R, Java, C+, C++, C#, VB, Scala, MATLAB, etc. Most courses, including our machine learning with Python certification course at SureCertificate, train this branch of AI with Python because Python’s scikit-learn package is beneficial for your learning.
Undergo our Machine Learning with Python complete course at SureCertificate which is delivered via live, instructor-led training sessions.
You can listen, learn, ask relevant questions and get all your doubts clarified from your instructors, who are experienced Data Science and Machine Learning industry experts. Their insights will assist you in mitigating challenges as a DevOps professional in the real world.
Most Machine Learning with Python courses online with certificates are delivered by leading practitioners who bring trending insights, best practices, and case studies from their experience to the training sessions. At SureCertificate, we add a bit of extra punch. Our 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 connection, from anywhere across the world, can access the course and benefit from it. Just an update, we do not provide any machine learning with Python professional certificate. However, we provide a completion certificate that you can share on social media.
Data is transforming everything we do. All organizations, from startups to tech giants to Fortune 500 corporations, are racing to harness the immense amounts of data generated unknowingly every day and put it to use for key decisions. Big and small data is reshaping technology and business as we know it and will continue to do so (at least soon).
In the state of Machine Learning in companies and your daily life machine learning is no more just a mere niche of the tech world but is a new field of work and research altogether. Tech experts have been increasingly making use of Machine Learning over the years. Surge pricing at Uber, Walmart product recommendations, social media feeds displayed by both Facebook and Instagram, Google Maps, detecting financial fraud at financial institutions, etc. - all these and many more functionalities are now being performed with the help of powerful Machine Learning algorithms, increasingly without human interference. Every individual is making use of one or the other product of Machine Learning, whether he knows it or not. In such a scenario, learning about Machine Learning is an inevitable step that any professional, especially someone involved in the field of Information Technology and Data Science, must take in order to not become irrelevant.
Some of the benefits of learning Machine Learning include the following:
At such a time, all industries from the financial services sector to government agencies, the healthcare industry and oil and gas mega-corporations to the transportation sector - every industry is a ripe field for work in the field of Machine learning. Learn about ML in our machine learning with Python crash course at SureCertificate to stay ahead in the game.
Per LinkedIn, machine learning job postings have been increasing by over 300% in the past 6 years. Furthermore, the World Economic Forum claims that the demand for AI and ML experts is projected to grow by 40%, i.e., 1 million jobs, soon. Our machine learning with Python course content at SureCertificate is up-to-date to help you stay ahead of your peers and be a job-ready and skilled professional.
The concept of Machine Learning deals with computers and systems taking in a huge amount of data, analyzing it and solving problems through training on that data in order to obtain the best possible outcome for a task or problem. It is a way for humans to be able to solve problems, without having to actually know and understand what the problem really is, as well as why a particular approach to a problem actually works.
At SureCertificate, our machine learning with Python course syllabus keeps these things in mind. So, when you complete the course successfully, you become a skilled ML professional.
At SureCertificate, we strive diligently to make sure that your learning experience with us is second to none and you are assured of the highest standards of quality. However, if for any reason your expectations are not met, we will process refunds in accordance with our Cancellation, Refund, and Deferment Policy.
To avail of scholarships for one of our top machine learning with Python courses online with certificate, please get in touch with us at [email protected] or check with your Learning Advisor. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts take a decision on the Grant. The entire process could take about 7 to 15 days.
Yes, group discounts can be available in our machine learning with Python course fees and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up 20% to 30% on the course fee. For more details, please check out upcoming schedules.
If you want to have an in-depth understanding of such ML basics, our machine learning with Python complete course at SureCertificate can assist you with it.
To become an ML professional, you need to enroll in the best machine learning with Python course online to learn about the various ML algorithms. SureCertificate offers a Machine Learning with Python course that builds up the much-needed ML foundation. However, here’s a summary for your quick understanding. Machine Learning Algorithms can be classified basically into the following 3 types -
Thanks to the large and diverse open-source community of Python and its libraries, there are some very useful libraries as below:
However, you need a valid certificate in machine learning with Python to get things rolling on the job front. Once you successfully complete our Machine Learning with Python course at SureCertificate, you will get a completion certificate to get noticed in the competitive market.