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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Hands-on Predicitive Analytics with Python (TTPS4879) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

The Mechanic Officer’s Guide Course offers a thorough exploration of automotive maintenance and restoration, designed for anyone eager to deepen their understanding of car mechanics. From identifying vehicle warning lights to mastering the intricacies of the braking and fuel systems, this course covers essential topics that keep vehicles running smoothly. It also includes detailed modules on restoring both the engine and the car’s interior and exterior, providing a clear pathway to appreciating the art of vehicle care. Alongside mechanical insights, it pays close attention to workplace safety and the proper management of work equipment, ensuring learners are well-versed in maintaining a secure and efficient environment. This course balances technical knowledge with practical applications tailored for an online learning format, making it accessible without the need for physical attendance. Its structure is designed to fit around busy schedules, offering flexibility while maintaining an engaging and informative pace. Whether you're looking to refresh your skills or build a solid foundation in automotive mechanics, this course presents a professional and approachable guide. It is crafted to appeal to enthusiasts and professionals alike, delivering content that is both valuable and easy to follow, helping learners gain confidence in vehicle maintenance and restoration concepts. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Introduction to Safety and Maintenance Module 02: General Maintenance for Car Mechanics Module 03: Vehicle Warning Lights Module 04: Tyres and Wheels Module 05: The Engine Module 06: The Cooling System Module 07: The Fuel System Module 08: The Electrical System Module 09: The Drivetrain Module 10: The Braking System Module 11: Car Restoration Plan Module 12: Restoring the Car's Interior Module 13: Restoring the Car's Exterior Module 14: Restoring the Engine Module 15: Reassemble & Test Drive Module 16: Hearing Conservation at Workplace Module 17: Provision and Use of Work Equipment Regulations Module 18: Selection and Conformity of Work Equipment Module 19: Safe Functionality of Work Equipment Module 20: Monitoring and Evaluation of Work Equipment Module 21: Maintenance of Work Equipment Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Mechanic Officer's Guide training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Mechanic Officer's Guide training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

The Positive Psychology course to explore core values, shape a profound vision and create an actionable plan for your best life.

The Food & Beverage Manager Course is designed to provide a thorough understanding of the essential facets of managing food and beverage operations within diverse hospitality settings. This course delves into the intricacies of service management, operational workflows, menu planning, and customer relations, offering a well-rounded foundation that prepares participants to confidently oversee all aspects of food and beverage service. From learning how to optimise daily operations to mastering effective staff and customer management, the curriculum delivers targeted knowledge ideal for anyone aiming to elevate their managerial capabilities in this sector. Participants will also explore the art of event coordination and the core responsibilities that define a successful manager in this field. By focusing on strategic decision-making and efficient resource management, the course equips learners with the tools needed to maintain high standards of service and operational excellence. Whether you are looking to enhance your expertise or gain a solid grounding in food and beverage management, this course offers clear insights and practical guidance — all accessible through flexible, remote learning that fits seamlessly into your schedule. Key Benefits Accredited by CPD Instant e-certificate Fully online, interactive course Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Curriculum Module 01: Introduction to Food and Beverage Service Module 02: Operations in Food and Beverage Management Module 03: Menu Setting in Food and Beverage Service Module 04: Sales, Customers and Staff Module 05: Event Management Module 06: Responsibilities of a Manager Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Certificate Once you've successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Food & Beverage Manager training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Food & Beverage Manager training. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included

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