12 Educators providing Linear courses in London

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.

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.

Adobe Premiere Pro is one of the most powerful yet affordable video editing solution currently on the market. In addition to video editing, Premiere enables you to perform colour correction and audio adjustments. This introductory course assumes no prior video editing knowledge and covers the fundamentals of non-linear editing. After taking this Adobe Premiere Pro course you will be able to edit video for film, television and the Web.

SSRS Report Builder Course Summary. Practical SSRS Report Builder course, to leavy you full conversant with queries, DML and DDL statements. Hands-on, Practical SSRS course. PCWorkshops SSRS Course Certificate. Max 4 people per course, we keep it personalised. Where is the SSRS Report Builder Course? Online: Instructor-led. Classroom: Request per email. SSRS Course Materials SSRS Coding Examples Manuals and Notes: In-depth reference materials Exercises: Practical exercises Payment Options → £600, Follow the booking link Arrange for installments Included with SSRS Report Builder Course: SSRS Course Certificate on completion. SSRS Course Manual. Practical SSRS Course exercises. SSRS Code Samples. After the course, 1 free session for questions. Max group size, online and in classroom, on this SSRS Course is 4. Course Topics SSRS Report Builder Course Topics SSRS Course topics: This course focus on producing reports using MS SQL SSRS Report Builder, to use the product features and tools related to data retrieval, visualisations and deployment. The Target Audience: end-users who will produce reports for their department or group using datasets. SSRS Course Topics Report Models: Data source views Creating a model Entities, attributes and roles Tables: Creating tables Interactive sorting Floating headers Grouping: Inserting groups Group headers/footers Displaying group totals Expanding and collapsing Expressions: The expression builder The Report Items collection Built-in fields Conditional formatting expressions Page headers and footers Page names and numbers Exporting reports: The various report formats Using RenderFormat. Parameters: Creating parameters Filtering using parameters Drop list parameters Coping with empty tables Matrices: Row and column groups Sorting and filtering matrices Creating subtotals Charts: Creating charts The parts of a chart Formatting charts Basic reports: Text boxes and images Selecting report items Formatting parts of a report Miniature charts Creating sparklines Creating data bars Graphical indicators Creating and customising indicators Linear and radial gauges Lists: Page-per-record lists Dashboard lists Other list ideas Subreports: Creating a child report Creating the main report Linking the two reports Report parts: Publishing report parts The report part gallery Updating report parts Book the SSRS Course About us Our experienced trainers are award winners. More about us FAQ's Client Comments