183 Notebook courses

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Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

Learn how to use OneNote to create, organize and populate electronic notebooks. Course overview Duration: 4 hours OneNote is a digital notebook and can be a great way to easily take notes. Whether for meetings, on training courses or to help with to do lists. It works very much like it’s paper copy equivalent but, of course, with lots of enhanced features. Its integration with Outlook and the other office applications means you can easily take notes and link them to documents meeting details and then email them out. You can even add audio and video notes as reminders. Objectives  By the end of the course you will be able to: Create and manage notebooks Add contents Tag and prioritise content Create notes from other applications Create To Do Lists and integrate into Outlook Content Using OneNote Creating notebooks Creating sections and pages Formatting pages Using page templates Creating page templates Reordering sections and pages Deleting sections and pages Creating OneNote content Adding text Bullet lists Adding tables Adding images Adding drawings Adding links Adding audio and video notes Tagging Tagging Creating custom tags Creating to-do lists Searching and filtering for tags Notes Creating quick notes Filtering them in OneNote notebooks Linked notes Outlook integration Linking to tasks in Outlook Flagging notes for follow up Inserting Outlook meeting content Taking minutes Emailing OneNote pages Send emails to OneNote

This beginner's level course on Pandas acquaints you to the data analysis fundamentals using Pandas library and working with Pandas primary data structures, Series and DataFrame. Learn all about data input using indexing and filtering, data preprocessing, and handle missing values and duplicate rows to transform your data more efficiently with the help of this hands-on course.

Do you want to captivate your student's attention? Of course, you do, every teacher wants to mesmerise the students with their speaking skills. But not everyone is good at speaking. Many students fail to properly understand the lesson because the teacher was not able to communicate correctly. Students get bored in class and think of the lectures as long boring speeches from the teacher. But you don't have to be one of those teachers. Instead, we're here to turn your long speeches into something that the students look up to. All it takes is learning the right skills and a few tips and tricks. We created this course to teach you all the skills that will make you an expert in communicating with your students.  After this course, you'll be amazing at speaking to your students and astonish them with your speeches. What You Will Learn Speak more effectively in front of the classroom Give engaging speeches Engage your students at a deeper level Help your students remember the most important concepts more easily Skills You Will Gain Leadership Skill Presentation Skill Teaching Skill Speaking skill Communication skill Career Prospects The career options for a good speaker is limitless. Here's just a few- Teacher Public speaker Motivational speaker Lecturer Why Choose Teachers Training Some of our features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Who Is This Course For This Speaking Training for Teachers is for anyone who: Wants to enter a teaching profession Wants to get better at speaking and communicating effectively Just started a teaching role and wants to get better Wants to add a qualification to their name To teach the future generation and build them up To gain leadership, presentation, and other valuable skills Entry Requirements There are no formal entry requirements to take this Speaking Training for Teachers. You just need to have: Passion for learning, A good understanding of the English language, Be over the age of 16. Assessment The assessment is straightforward, you need to complete the assignment questions that will be provided to you at the end of the course, you can complete the assignment anytime you want. After you complete and submit your assignment, our tutors will assess your assignment and give you feedback if needed.  After your assignment has been assessed and you have passed, you will be qualified and will be able to apply for a course completion certificate. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. FAQ Do I have to buy a textbook? Answer: No, you do not have to buy a textbook, you can use a notebook to take notes if that helps you understand better. Is the course self-paced Answer: Yes, the course is self-paced, you can learn at the pace you feel comfortable in. Your Students Will Never See You Practice How Teachers and Educators Can Lecture More Effectively 1st Video Rehearsal 00:02:00 How Teachers and Educators Can lecture More Effectively 2nd Video Rehearsal 00:02:00 How Teachers and Educators Can lecture More Effectively 3rd Video Rehearsal 00:04:00 How Teachers and Educators Can Lecture More Effectively Any Subject Can be Interesting and any Subject Boring 00:02:00 How Teachers and Educators Can Lecture More Effectively Conclusion 00:01:00 How Teachers and Educators Can Lecture More effectively Discipline 00:06:00 How Teachers and Educators Can Lecture More Effectively Feedback 00:02:00 How Teachers and Educators Can Lecture More Effectively Focus on top Five Principles 00:05:00 How Teachers and Educators Can Lecture More Effectively Intro 00:01:00 How Teachers and Educators Can Lecture More Effectively Look at Your Video 00:02:00 How Teachers and Educators Can Lecture More Effectively Passion 00:04:00 How Teachers and Educators Can Lecture More Effectively Platform Skills 00:05:00 How Teachers and Educators Can Lecture More Effectively Promo 00:01:00 How Teachers and Educators can Lecture More Effectively Questions 00:05:00 How Teachers and Educators Can Lecture More Effectively Stories 00:06:00 How Teachers and Educators Can Lecture More Effectively Wireless Microphone 00:06:00

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This course covers Python for data science and machine learning in detail and is for a beginner in Python. You will also learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, challenges of bias, variance and overfitting, model evaluation techniques, model optimization using hyperparameter tuning, grid search cross-validation techniques, and more.

Python Certification - Beginner to Expert offers a comprehensive journey from novice to proficient Python programmer. This course is structured into 18 sections, covering essential topics such as software installation, conditional branching, file handling, and database management.

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Experience the future of geographical analysis with our Machine Learning for Predictive Maps in Python and Leaflet course. Master the unique blend of programming, machine learning, and geographic information systems, all while honing your ability to predict and visualise spatial data in a powerful and effective way. This course offers you an unparalleled understanding of modern map creation, combined with the magic of prediction using machine learning models. Starting from the ground up, you'll be introduced to all the necessary setups and installations. After that, you will be diving into the depth of Django server-side code and front-end application code writing. The heart of the course lies in learning how to automate the machine learning pipeline, leading you to easily create predictive models.  Improve your maps with Leaflet programming, making your predictions accurate and also visually striking. By the end of this course, you will be armed with experience furnished by our comprehensive project source code and assignments, empowering you to drive data-driven decisions and insightful spatial analysis. Join us and map your way to success! Sign up today. Learning Outcomes:Upon completion of the Machine Learning course, you will be able to: Understand how to set up and install relevant software and libraries.Master Django server-side and application front-end code writing.Gain proficiency in the concepts and implementation of Machine Learning.Learn to automate Machine Learning pipelines for efficient workflows.Acquire skills in Leaflet programming for enhanced map visuals.Handle project source code effectively for real-world projects.Apply knowledge practically via assignments and gain experience. Who is this course for?This Machine Learning course is ideal for: Aspiring Data Scientists keen on harnessing geographical data.GIS professionals aiming to integrate Machine Learning into their skill set.Software Developers interested in creating geographically-focused applications.Analysts keen on enhancing their data visualisation skills with mapping. CertificationAfter studying the course materials of the Machine Learning for Predictive Maps in Python and Leaflet course, there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test, you have a range of certification options to choose from. You can claim a CPD Accredited PDF Certificate for £4.99, a CPD Accredited Hardcopy Certificate at £8.00, or you may choose to receive a PDF Transcript for £4.99 or a Hardcopy Transcript for £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. RequirementsThis professionally designed Machine Learning for Predictive Maps in Python and Leaflet course does not require you to have any prior qualifications or experience. It is open to everyone. You will be able to access the course from anywhere at any time. Just enrol and start learning! Career Path:Our Machine Learning course will help you to pursue a range of career paths, such as: Junior Data Analyst: £25,000 - £35,000 annually.Data Scientist: £40,000 - £60,000 annually.GIS Analyst: £30,000 - £45,000 annually.Geospatial Software Developer: £35,000 - £55,000 annually.Machine Learning Engineer: £50,000 - £80,000 annually.Lead Data Scientist (GIS speciality): £70,000 - £100,000+ annually. Course Curriculum Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:04:00 Creating a Python Virtual Environment 00:07:00 Installing Django 00:09:00 Installing Visual Studio Code IDE 00:06:00 Installing PostgreSQL Database Server Part 1 00:03:00 Installing PostgreSQL Database Server Part 2 00:09:00 Section 03: Writing the Django Server-Side Code Adding the settings.py Code 00:07:00 Creating a Django Model 00:10:00 Adding the admin.py Code 00:21:00 Section 04: Writing the Application Front-end Code Creating Template Files 00:10:00 Creating Django Views 00:10:00 Creating URL Patterns for the REST API 00:09:00 Adding the index.html code 00:04:00 Adding the layout.html code 00:19:00 Creating our First Map 00:10:00 Adding Markers 00:16:00 Section 05: Machine Learning Installing Jupyter Notebook 00:07:00 Data Pre-processing 00:31:00 Model Selection 00:20:00 Model Evaluation and Building a Prediction Dataset 00:11:00 Section 06: Automating the Machine Learning Pipeline Creating a Django Model 00:04:00 Embedding the Machine Learning Pipeline in the Application 00:42:00 Creating a URL Endpoint for our Prediction Dataset 00:06:00 Section 07: Leaflet Programming Creating Multiple Basemaps 00:09:00 Creating the Marker Layer Group 00:10:00 Creating the Point Layer Group 00:12:00 Creating the Predicted Point Layer Group 00:07:00 Creating the Predicted High Risk Point Layer Group 00:12:00 Creating the Legend 00:09:00 Creating the Prediction Score Legend 00:15:00 Section 08: Project Source Code Resource 00:00:00 Assignment Assignment - Machine Learning for Predictive Maps in Python and Leaflet 00:00:00