17784 AI courses

The Future of Leadership: Introducing a New Leadership Model That Embraces Power skills, Diversity and Inclusion and Community Service Power Skills (EQ) are so important in a numbers and technology-driven world. Where technology, automation and AI has infiltrated all aspects of our personal and professional lives, power skills continue to not only be our differentiator but essential for us to learn, grow and connect. This session will focus on specific power skills of awareness, empathy and relationships which power our new leadership model, combined with diversity and inclusion presence. These skills can be put into practice in the professional, non-profit and educational space to allow the individual to move beyond the numbers and succeed in whatever we pursue. We will explore how these skills have become even more important during the pandemic, and the new future of work and learning. How Power Skills (EQ) have become more important and necessary in the new pandemic world and will continue to be necessary post pandemic. Why Power Skills will be needed throughout your career even more than ever due to the future of work Being a leader is not just about being diversity and inclusion aware, but now also conversant and opinionated Community service and giving back builds your power skills and diversity and inclusion leadership skills

Presentation Skills 1 Day Workshop in Cardiff

Presentation Skills 1 Day Workshop in Manchester

Presentation Skills 1 Day Workshop in St Asaph

Presentation Skills 1 Day Workshop in Elgin

One of the best AI and data science colleges in Coimbatore, SkyAppz Academy, offers state-of-the-art courses in Artificial Intelligence, machine learning, and deep learning. With our courses, beginners and professionals alike can acquire new AI skills through guided projects, lectures by seasoned professionals, and interactive capstone exercises. The offered AI course in Coimbatore also includes advanced IT career support, such as industry-standard certifications, flexible study options, and comprehensive placement assistance. Begin your career in the world of AI today and confidently transform its future.

This is a complete crash course about KNIME for beginners. Here, we will learn how to do data cleaning and data preparation without any code, using KNIME. We will also cover data visualization using Tableau and Power BI Desktop. Then we will understand the predictive analytics capabilities of KNIME and finally, cover machine learning in KNIME.

Unlock the potential of Notion with our “Notion for Complete Beginners” course. Master productivity, organization, and collaboration effortlessly.

Enhance your resuscitation skills with the Resuscitation Council UK's Immediate Life Support (ILS) course. Stay current with the latest guidelines and develop the confidence and practical abilities needed to respond effectively in emergency situations. Elevate your professional competency and ensure patient safety with comprehensive training from RCUK."

Discover the thrilling world of artificial intelligence with the 'Machine Learning Course with Python'. Immerse yourself in a voyage from foundational concepts, unveiling the mysteries behind algorithms, to diving deep into the cores of preprocessing, regression, and classification. Crafted meticulously, this course introduces Python as the catalyst, opening doors to data-driven decision-making and predictive analysis, empowering your journey in the ever-evolving field of machine learning. Learning Outcomes Grasp the foundational knowledge of various machine learning algorithms. Attain proficiency in preprocessing data for optimal outcomes. Master the nuances of regression analysis using Python. Delve into the intricacies of classification techniques. Enhance problem-solving abilities with practical Python-driven machine learning applications. Why choose this Machine Learning Course with Python course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Machine Learning Course with Python Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Machine Learning Course with Python course for? Aspiring data scientists eager to harness the power of machine learning. Python enthusiasts aiming to delve into its applications in AI. Professionals in the tech industry seeking a transition into data roles. Academics and researchers wanting to employ machine learning in their work. Business analysts aiming to leverage predictive analytics for better insights. Career path Data Scientist: £40,000 - £70,000 Machine Learning Engineer: £50,000 - £80,000 AI Researcher: £45,000 - £75,000 Data Analyst: £30,000 - £50,000 Python Developer: £35,000 - £65,000 Business Intelligence Developer: £40,000 - £60,000 Prerequisites This Machine Learning Course with Python does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Course with Python was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Machine Learning Algorithms Introduction to types of ML algorithm 00:02:00 Module 02: Preprocessing Importing a dataset in python 00:02:00 Resolving Missing Values 00:06:00 Managing Category Variables 00:04:00 Training and Testing Datasets 00:07:00 Normalizing Variables 00:02:00 Normalizing Variables - Python Code 00:03:00 Summary 00:01:00 Module 03: Regression Simple Linear Regression - How it works? 00:04:00 Simple Linear Regreesion - Python Implementation 00:07:00 Multiple Linear Regression - How it works? 00:01:00 Multiple Linear Regression - Python Implementation 00:09:00 Decision Trees - How it works? 00:05:00 Random Forest - How it works? 00:03:00 Decision Trees and Random Forest - Python Implementation 00:04:00 Module 04: Classification kNN - How it works? 00:02:00 kNN - Python Implementation 00:10:00 Decision Tree Classifier and Random Forest Classifier in Python 00:10:00 SVM - How it works? 00:04:00 SVM - Python Implementation 00:06:00 Assignment Assignment - Machine Learning Course with Python 00:00:00