6973 Courses in Linlithgow delivered Live Online

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.

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

SQL Queries Course, 1-Day. Basic SQL syntax. This course is good for any database, covering standard SQL. Most attendees are in-work IT Professional. Private individuals are also very welcome.

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.

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

Our Team Leader Programme is designed specifically for new & existing Team Leads & Managers in Healthcare, such as General Practice, Primary & Secondary Care. This programme gives delegates the opportunity to spend time with peers, gain new tools & techniques that enable them to develop & support their team effectively. Building confidence to be able to have more proactive & challenging conversations with team members, supporting managers and reducing escalation.

A 5-day intensive, practical course covering model-making skills for theatre, film, animation or spatial design. Led by David Neat from his studio in Deptford.

Live via Zoom. Fortnightly - 1/15/29 Oct, 12/26 Nov, 10 Dec - 6-8pm UK time Join artist Julie Galante for this course designed to nurture your creative practice. Together we’ll explore ways to create work that reflects your individual interests, passion, and point of view, no matter your experience level. The course content is delivered over six live Zoom sessions, in a small, welcoming group with plenty of opportunities for interaction. Additionally, there will be optional (but highly recommended) assignments to complete in between the live sessions - assignments designed to get you stuck in to your creative practice in new and interesting ways. During each live session, there will be a demonstration focusing on a particular aspect of visual art - this will include various materials, subjects, and considerations such as composition, theme, mark-making, layering, and so on. We will also have a look at everyone’s recent creations, with celebration of the triumphs and suggestions for moving forward with work-in-progress. Together we’ll explore techniques including drawing, painting, mixed-media, and collage, but you don’t have to work exclusively in these media to take part - all creative disciplines are welcome. Each participant will be encouraged to deepen their explorations in whatever direction interests them most - be it a series of drawings, written reflections, sketches, collages, photographs, mixed-media pieces, or a unique, personal combination of all these. There will be an optional Facebook group for participants to stay connected and share their creations with each other between sessions. There will also be discounts available for other workshops and one-to-one mentoring. 

Talk the argument through Ascertain the cause Analyse possible options and solutions Relationship conflict coaching support and mediation tips conclusion and emotional intelligence training tips 3 x 45 mins sessions https://relationshipsmdd.com/product/m-d-d-argument-with-my-girl-package/