1220 Learning courses in London

CPD, Spinal injury, bowel management, suppository insertion, bowel evacuation, Revalidation, Spinal care, constipation, diarrhoea, faecal incontinence

This is a practical and immersive course for people managers which provides you with the skills, knowledge, and confidence to have effective conversations with staff about mental health and wellbeing.

The objective of the ID Liner Permanent Eyeliner fundamental course is to teach you how to achieve this look for your clients. It is the perfect solution for clients who struggle to draw on their own eyeliner or who just want an expertly enhanced look 24/7

, The Intravenous Route, Bioavailability, the First Pass Effect, IV drug administration Vascular Access Devices Care & Management: Peripheral Cannula, Midline, Catheter, different Central Venous Access(care of Hickman line), PICC, Implantable Port, UVC and subcutaneous infusion, VAD Assessment, Risk & Complication of IV Therapy, Infection control, Allergy, Fluids & Electrolytes and Drug Calculations. Total Parenteral Nutrition –TP, Solution content, Administration, Routes for delivery,

Train the Trainer, Trainer Development,

Facilitation Skills Training

MICROBLADING HAS BECOME ONE OF THE BIGGEST BEAUTY TRENDS AND THIS MICROBLADING TRAINING COURSE IS IDEAL FOR STUDENTS THAT WANT TO SPECIALISE SOLELY IN MICROBLADED BROWS.

This interactive 3-hour webinar is designed for teams who want to understand one another’s behavioural style and improve how the team interacts. Using the DISC framework, we'll uncover how people think, behave, and work differently. Participants will understand their own behavioural style and its impact on others. We'll explore how different styles prefer to communicate and collaborate, and how to adapt our messages to team members with diverse working styles and communication preferences.

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.