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Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Whether you work in machine learning or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks. This Python Bundle Consists of the following Premium courses: Course 01: Python Programming for Everybody Course 02: Data Science with Python Course 03: Machine Learning with Python Course 04: Learn to Use Python for Spatial Analysis in ArcGIS Course 05: Higher Order Functions in Python - Level 03 Course 06: Introduction to Data Analysis Course 07: Data Structures Complete Course Course 08: Basic Google Data Studio Course 09: Computer Science: Graph Theory Algorithms Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Business Intelligence and Data Mining Masterclass Course 12: Cyber Security Incident Handling and Incident Response Course 13: Decision Making and Critical Thinking Decision Making and Critical Thinking Course 14: Time Management Benefits you'll get from choosing Apex Learning: Pay once and get lifetime access to 14 CPD courses Free e-Learning App for engaging reading materials & helpful assistance Certificates, student ID for the Courses included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules of Courses designed by expert instructors Learn about Courses at your ease - anytime, from anywhere Study the Courses from your computer, tablet or mobile device CPD accredited Courses - improve the chance of gaining professional skills Curriculum : Course 01: Python Programming for Everybody This Python's curriculum has been designed by experts with years of experience behind them. The Python course is extremely dynamic and well-paced to help you understand with ease. You'll discover how to master the skill while exploring relevant and essential topics. Module 01 A Installing Python Documentation Command Line And much more... Module 02 Additional Topics If Elif Else Iterable For And much more... Module 03 Number Types More Number Types Strings More Strings And much more... Module 04 Comprehensions Definitions Functions Default Arguments And much more... Module 05 Function Objects Lambda Generators Closures And much more... How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) CPD 140 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle. Requirements Our course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming for Everybody) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost. Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Python Programming for Everybody) absolutely Free!

This course empowers you to create interactive web applications using Shiny for Python. From fundamental concepts to advanced techniques, you will master web development with Python as your toolkit. Develop dynamic projects, learn diverse deployment methods, and embark on a journey to become a skilled Python web developer.

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly.

Explore ChatGPT, a cutting-edge world of AI content creation, with our comprehensive course. This meticulously curated program unravels the technology behind ChatGPT to practical applications in machine learning, social media, data analysis, and image generation. This course unveils new facets of AI to navigate this evolving landscape with prowess.

Learn the basics of Data Science, combining a supported #CISCO Skills for All online course with practical learning and a project to help consolidate the learning.

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before Imagine you are soaring high above the earth, observing the world from a bird's-eye view. Remote Sensing in ArcGIS bundle could be your ticket to experiencing the world in a way you never have before. In the UK alone, the geospatial industry contributes over £11 billion to the economy. With 11 courses, this Remote Sensing in ArcGIS bundle is a one-stop shop for all your GIS and remote sensing needs. The bundle's crown jewel is the Remote Sensing in ArcGIS course, which is QLS-endorsed and comes with a hardcopy certificate. With courses covering everything from QGIS Cartography to Business Intelligence and Data Mining Diploma, this bundle is a comprehensive guide to all things remote sensing. You'll learn how to create smart maps in Python, perform spatial analysis in ArcGIS, and even use web scraping to map dam levels. The possibilities are endless! This Remote Sensing in ArcGIS Bundle Package includes: Course 01: Award in Remote Sensing in ArcGIS at QLS Level 2 10 Premium Additional CPD QS Accredited Courses - Course 01: QGIS Cartography Course 02: Spatial Data Visualization and Machine Learning in Python Level 4 Course 03: Create Smart Maps in Python and Leaflet Level 3 Course 04: Spatial Analysis in ArcGIS Course 05: ArcGIS for Hydrology Course 06: Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4 Course 07: Learn to Use Python for Spatial Analysis in ArcGIS Course 08: The Basics of ArcGIS for Hydrology Course 09: Python Data Science Course 10: Business Intelligence and Data Mining Diploma Don't miss this opportunity to expand your knowledge and skills in remote sensing. Enrol in the Remote Sensing in ArcGIS bundle today and take your first step towards exploring the world from a whole new perspective. Why Choose Us? Get a free QLS endorsed Certificate upon completion of Remote Sensing in ArcGIS Get a free student ID card with Remote Sensing in ArcGIS Training The Remote Sensing in ArcGIS is affordable and simple to understand This course is entirely online, interactive lesson with voiceover audio Lifetime access to the Remote Sensing in ArcGIS course materials The Remote Sensing in ArcGIS comes with 24/7 tutor support After taking this Remote Sensing in ArcGIS bundle courses, you will be able to learn: Gain expertise in remote sensing and GIS technologies. Understand the fundamentals of spatial data analysis and visualisation. Learn to create maps using Python and Leaflet. Explore machine learning techniques for spatial data analysis. Get hands-on experience in ArcGIS for hydrology. Understand web scraping and mapping using Python and Leaflet. Develop proficiency in data mining, business intelligence, and Python data science. ***Curriculum breakdown *** Module 01: Remote sensing, satellite images, spectral bands introduction Module 02: Layers stacking satellite images Module 03: Georeferencing satellite images Module 04: Introduction to geoprocessing raster tools Module 05: Raster Analysis Functions Module 06: Georeferencing toposheet Module 07: Site suitability using weighted overlay analysis - part 1 Module 08: Site suitability using weighted overlay analysis - part 2 Module 09: Watershed Delineation from DEM Module 10: Unsupervised classification Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the Award in Remote Sensing in ArcGIS at QLS Level 2 exams. CPD 180 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements This Remote Sensing in ArcGIS doesn't require prior experience and is suitable for diverse learners. Career path This Remote Sensing in ArcGIS bundle will be beneficial for anyone looking to pursue a career as: GIS Analyst Remote Sensing Specialist Spatial Data Scientist Geospatial Project Manager GIS Consultant GIS Team Leader Certificates Award in Remote Sensing in ArcGIS at QLS Level 2 Hard copy certificate - Included CPD QS Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. CPD QS Accredited PDF Certificate Digital certificate - Included

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Here's what you get: Step by step Computer Vision: C++ and OpenCV with GPU support lessons One to one assistance from Computer Vision: C++ and OpenCV with GPU supportprofessionals if you need it Innovative exams to test your knowledge after the Computer Vision: C++ and OpenCV with GPU supportcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Computer Vision: C++ and OpenCV with GPU support courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Computer Vision: C++ and OpenCV with GPU support certificate and transcript on the next working day Easily learn the Computer Vision: C++ and OpenCV with GPU support skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client