Pricing is per delegate, giving you huge savings over the cost of individual courses.
4.6 out of 5 rating Last updated 14/11/2024 English
Interested in available dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.
2.25 Days
13.5 CPD hours
You will learn how to use data science and machine learning with Python. Understand Machine Learning from top to bottom. Learn NumPy for numerical processing with Python. Conduct feature engineering on real world case studies. Learn Pandas for data manipulation with Python. Create supervised machine learning algorithms to predict classes. Create regression machine learning algorithms for predicting continuous values. Construct a modern portfolio of machine learning resume projects. Learn how to use Scikit-learn to apply powerful machine learning algorithms. Get set-up quickly with the Anaconda data science stack environment. Understand the full product workflow for the machine learning lifecycle. Explore how to deploy your machine learning models as interactive APIs.
Master the skills to use machine learning in your day-to-day work with this Python course. Create algorithms to predict classes, continuous values, and more.
This course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Machine Learning. With a focus on SciKit Learn, you ll learn all aspects of Machine Learning ranging from a variety of regression types (Linear / Lasso /Ridge), Elastic Net, K Nearest Neighbors and Means Clustering, Hierarchal Clustering, DBSCAN, PCA, and Model Deployment.
This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.
To be successful in this course, learners should have the following: Intermediate Python skills and knowledge
Nexus Humans Python for Machine Learning training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.
This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Machine Learning course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.The 2.25 day. Python for Machine Learning training course give you up to 13.5 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.
Yes the Python for Machine Learning is appropriate for someone looking to use Python in a professional workspace or environment. But do make sure to note any prerequisites, read the course outline to ensure it is the right fit for you or your teams requirements and preferences.
Experienced Python developers looking to understand a wide variety of machine learning algorithms, including supervised and unsupervised learning algorithms.
Yes we provide corporate training, dedicated training and closed classes for the Python for Machine Learning. This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.
The Python for Machine Learning training takes place over 2.25 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.
Yes, the discount code PENPAL5 is currently available for the Python for Machine Learning training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.
When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.
Great course yesterday and can’t give enough amazing feedback for John. I’ve never had a teacher hold attention of a class from start to finish, but yesterday he did this.
Vistra
Alan delivered the training in an easy to understand and pleasant manner which was broken down into manageable chunks with an appropriate number of breaks to give folk time away from their laptops and screens. It is never easy to do 2 days of training on a fairly in-depth subject involving Software even in a classroom environment and remaining focused and engaged so doing it remotely adds another level of complexity, but I have to say that personally this was one of the best Training Events that I have attended for some years. I have gained so much knowledge of MS Project and it will certainly make my job easier going forward.
A large part of what I gained has to be credited to Alan’s manner and delivery and I should be grateful if you could pass on my thanks to him.
Also, the support, together with joining instructions & training literature etc from Nexus Human has been excellent – thank you for that. I intend feeding that back to our People and ICT Teams too
December 2023
Kerry, Ireland
ITC Group
Dublin
Nexus Human Classroom Student
Excellent interaction and answered all of my questions. Looking forward to being able to apply some of the tips and features learned today which hopefully should have real impact on some of the more time consuming tasks currently encountered.
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