Lash Lift and Tint What is a lash lift? The objectives of this course are that by the end the student will be able to perform a professional treatment safely and hygienically in a commercially acceptable time, along with experience of carrying out a consultation with the knowledge of the background, benefits, consultation, contra-indications, contra-actions, aftercare, equipment and products needed. Course Content Salon health, safety & hygiene Be able to consult, plan and prepare for eye treatments with clients Understand how to work safely and effectively when providing lash lift service Anatomy & Physiology Understand contra-indications that prevent or restrict eye treatments Understand equipment, materials, products, techniques and treatment planning for a lash lift and tint Be able to provide aftercare advice for clients Training Kit Included with a course Certificate You will receive an end of course certificate which is accredited by the cpd group and allows you to work on public How does the course work? The course is divided into 2 parts, the first part is theoretical which you have to complete before you come for your practical training, and the second one is a practical assignment. The practical assignment is done on the day which will be agreed upon course purchase. You will spend around 2-3 hours practising on a model in our venue in London E106RA. Will I require a model? Yes, you have to supply your model-2 will be needed. We can supply one for you, however, there is a £50 charge for this. Do I Need Experience Before Booking a Course? We’re pleased to offer courses to people with lots of different experiences. However, previous experience nor qualifications are not necessary if you would like to enrol on our Course. PAYMENT Payments are non refundable. By paying for the course you agree to our terms and conditions.
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
Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.
Data Visualization Courses London. In this Power BI Course, you will learn how to translate data trends, summaries, statistics and insights from your data into powerful and inspirational visualizations This course is ideal for managers and data analysts who need to make business decisions based on data.
his course covers the essential Python Basics, in our interactive, instructor led Live Virtual Classroom. This Python Basics course is a very good introduction to essential fundamental programming concepts using Python as programming language. These concepts are daily used by programmers and is your first step to working as a programmer. By the end, you'll be comfortable in programming Python code. You will have done small projects. This will serve for you as examples and samples that you can use to build larger projects.
Access Introduction generally navigate through Access Database, get data fast, update data records by entering, update data and delete data. Run available report, use available forms, create simple forms and reports via wizards. This style tuition helps to maximise the value that you get from the day.
Sometimes, the simplest photos are the hardest ones to take. How do you make an impeccable portrait of a loved-one or of a friend on the spot, and with only the help of natural lighting? Basically, how do you manage without a studio and all its controllability, and end up satisfied with an expressive and successful portrait?It is essential to take the environment into consideration when composing a portrait. Managing the background's colours and graphics, choosing the point of view, directing the model - these are all points that will be covered during the course.Light control is an equally important aspect; in particular, analysing a given moment's light and using it wisely are elements that will be explained to help you make a successful portrait.This workshop will teach you:- How to observe the environment so as to guide your aesthetic choices: point of view, directing a model- How to "read" light and place your subject accordingly- How to correctly define parameters in your camera according to your desired result- How to frame and compose an image to highlight the subjectThe workshop includes a theoretical explanation, a main "practical" part, as well as a class debriefing at the end. Pre-requisites for this workshop:
A Day in Wales. Join me for this fantastic photography workshop of woodland, lakes and waterfalls.In this course we cover all of the above. What do you need to bring with you?Camera/lenses/Spare memory card/batteries/tripod - A digital camera with "semi-automatic/manual" controls (Aperture and Shutter priority) is recommended to get the most from the course. Filters (if you have them) A packed lunch/snacks The relevant user manual for your camera Warm/waterproof clothing and suitable footwear - weather can be unpredictable all year round in Snowdonia. A notepad and pen What happens in bad weather?I monitor weather forecasts and if conditions are predicted to be completely unsuitable, to ensure both your safety and enjoyment of the day, it may be necessary to cancel a workshop. I will endeavour to provide at least 24hrs notice, although this cannot always be guaranteed; you will be offered either a full refund or a place on a future course.