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The one day glass fusing course is designed to give total beginners an introduction to a new skill, and allow more time to create a larger piece of work. At the end of the day, you will have created a glass bowl, wall hanging or large wave (approx 30cm x 30cm). You should also have had some fun! I keep the glass fusing classes small, to make sure it's easy to give everyone as much input as is required. There is a 2m gap between all work-stations, to help maintain social distancing. We also provide visors (or you can wear your own mask), and there is lots & lots of hand sanitiser. All equipment & materials are disinfected before the start of each day. You don't need to bring any materials, as everything required to create your piece of work is provided. The only thing you need to wear are closed shoes (e.g. no sandals), and to bring some lunch. We can also arrange lunch at a small cost, if required. You'll start the day by creating a design - you can bring your own, or we can provide one. You'll learn how to cut the glass & then build up your design which is then fired overnight. You will be able to collect your design the next day, or we can arrange to post it to you (you just need to cover the cost of the postage). Timings: 10am - 4pm Buying as a gift? Just select the most appropriate date and, if that turns out not to be suitable, the recipient can simply reschedule over the phone or by email (we just need 2 weeks' notice).
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.