431 Courses

Enhance oilfield production with our Artificial Lift and Real-Time Production Optimization course. Join EnergyEdge's classroom training for expert insights.

This course focuses on understanding all the basic theory and programming skills required as a data scientist, featuring 35+ practical case studies covering common business problems faced by them. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of data science and deep learning to real-world business problems.

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

Unlock mental processes & human behaviour insights with our Lvl 4 Adv. Diploma in Psychology. Gain practical skills, theoretical knowledge & career advantage.

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

Overview Enter the fascinating world of criminal investigation and test your deductive skills to see if they would suffice in the real-life incidents. This Criminology Complete Bundlecourse brings together three fundamental areas of Policing (Profiling, Psychology, and Forensics) and trains you in their use. With true-crimes and 'armchair detection' being a popular pastime for many people, this innovative tutorial brings together different investigative techniques and explains their importance in the modern Justice System. You will be given opportunities to test and explore the theories in interactive exercises and see if a career in more law enforcement might be in your future. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Criminology Complete Bundle. It is available to all students, of all academic backgrounds. Requirements Our Criminology Complete Bundle is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 50 lectures • 13:07:00 total length •Promo Video: 00:03:00 •What is Psychology: 00:10:00 •The Biological Approach: 00:10:00 •Behaviourist and Cognitive Approaches: 00:10:00 •Person-Centred Approaches: 00:08:00 •Research Methods in Psychology: 00:12:00 •Debates in Psychology: 00:13:00 •Social Influence: Compliance, Obedience and Conformity: 00:10:00 •Social Cognition: 00:09:00 •Applied Social Psychology: 00:10:00 •Perception: 00:10:00 •Attention: 00:02:00 •Remembering (Memory): 00:10:00 •Forgetting (Memory): 00:07:00 •Language: 00:10:00 •Thinking (Cognition): 00:07:00 •Attitudes: 00:10:00 •Problem-Solving and Artificial Intelligence: 00:09:00 •Issues in Child Development: 00:05:00 •Cognitive Development: 00:25:00 •The Development of Language and Communication: 00:06:00 •Social Perception (Interpersonal Perception): 00:06:00 •Moral Development: 00:09:00 •The definition and Diagnosis of Atypical (Abnormal) Behaviour: 00:07:00 •Treatments of atypical (abnormal) behaviour: 00:07:00 •Emotional disorders: 00:05:00 •Research Methods: 00:06:00 •Research Issues: 00:06:00 •Data Analysis: 00:07:00 •Thank You and Good Bye!: 00:04:00 •Resource Materials : Psychology: 00:00:00 •Module 01: Introduction to Criminology and Profiling: 00:23:00 •Module 02: Classification of Crime: 00:18:00 •Module 03: Violent Crimes: 00:29:00 •Module 04: The Crime Scene: 00:30:00 •Module 05: Dealing with Crime: 00:41:00 •Module 06: Understanding Criminal Psychology: 00:31:00 •Module 07: Forensic Science: 00:35:00 •Module 08: Phases of Profiling: 00:33:00 •Module 09: Criminal Profiling: Science, Logic and Metacognition: 00:28:00 •Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice: 00:22:00 •Module 11: Victimology: 00:25:00 •Module 12: The Criminal Justice System in England and Wales: 00:19:00 •Module 01: Introduction to Domestic Violence & Abuse: 00:28:00 •Module 02: The Components of Domestic Violence: 00:25:00 •Module 03: The Impact of Domestic Violence on Victims: 00:32:00 •Module 04: The Impact of Domestic Violence and Abuse on Children: 00:50:00 •Module 05: Assessing the Risks of Domestic Violence and Abuses on Children: 00:15:00 •Module 06: Supporting the Victim and Reporting Incidents: 00:31:00 •Module 07: Record Keeping: 00:19:00

Level 4 Diploma(FREE QLS Endorsed Certificate)| 11 CPD Courses+11 PDF Certificates| 150 CPD Points|CPD & CiQ Accredited

This course is designed for beginners, although we will go deep gradually, and is a highly focused course designed to master your Python skills in probability and statistics, which covers the major part of machine learning or data science-related career opportunities.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers 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 AWS Media Essentials for IT Business Decision Makers 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.