Master Computer Vision & Deep Learning: OpenCV, YOLO, ResNet

What’s in this course?Cloud Native Buildpacks for the Absolute Beginners - Hands-On course is designed to provide you with a comprehensive understanding of Cloud Native Buildpacks, from foundational concepts to advanced implementations. Buildpacks simplify the process of transforming your application source code into container images, ensuring consistency, security, and efficiency in modern DevOps workflows. The course starts with foundational topics, perfect for beginners, covering the Buildpacks Architecture, then dive into the necessity and features of Cloud Native Buildpacks. You will learn how to set up and manage container image creation with Dockerfiles using Pack and Kpack platforms.The course will explore various Builders, Buildpacks, lifecycle, build and run images. You’ll also learn how to perform advanced tasks like developing your own Buildpacks and Builders.As you progress, you’ll delve into more specialized areas such as creating Container Images in Kubernetes environments using kpack.With a strong focus on hands-on learning, real-world scenarios, and Kubernetes integrations, this course will equip you with the skills to build, package, and manage applications seamlessly using Buildpacks.Special Note: This course is designed to showcase all practical concepts with live demonstrations. Every concept is presented in real-time, and any errors that arise are troubleshooted and addressed as they occur live in the demonstrations.Legal Notice:Buildpacks or Cloud Native Buildpacks is a registered trademarks of The Cloud Native Computing Foundation (CNCF) and/or The Linux Foundation in the United States and other countries. This course is not certified, accredited, affiliated with, nor endorsed by The Cloud Native

Learn statistics using R with mini projects, hands-on practice, and carefully designed visual explanations. Understand how fundamental statistical concepts work behind the scenes and apply your knowledge to new scenarios.Descriptive Statistics in R is Your First Step Into the In-demand and Powerful World of Statistics and Data ScienceAnalyze real-world scenarios by identifying key elements such as population, sample, statistic, and parameter.Measure the center of the data with the mean, median, and mode. Describe their key differences and use cases.Measure the spread of the data with variance and standard deviation.Learn how to create and interpret bar plots, histograms and box plots.Find quartiles and the interquartile range (IQR). Use them to identify potential outliers.Apply your knowledge in practical mini projects.Check your knowledge with a final exam that covers all the topics of the course. Add New Statistical Skills To Your ResumeStatistics is one of the most in-demand skills of our current time. If you want a career in data science, computer science, or mathematics, learning statistics is the first step that you need to take. When you combine theoretical statistical skills with practical R programming skills, you have the perfect skill set that employers around the world are looking for. This course provides a detailed and engaging introduction to descriptive statistics using the R programming language and RStudio, the main tool used in industry to work with programming for statistical purposes. No programming experience is required to take this course. Lectures combine the theoretical aspects of statistics with the practical and applied aspects that R programming brings to this amazing field. You will be analyzing small datasets and working on practical mini projects that simulate simplified real-world

Learn Python for Data Science Machine Learning from A-ZIn this practical, hands-on course you’ll learn how to program using Python for Data Science and Machine Learning. This includes data analysis, visualization, and how to make use of that data in a practical manner. Our main objective is to give you the education not just to understand the ins and outs of the Python programming language for Data Science and Machine Learning, but also to learn exactly how to become a professional Data Scientist with Python and land your first job.We'll go over some of the best and most important Python libraries for data science such as NumPy, Pandas, and Matplotlib +NumPy — A library that makes a variety of mathematical and statistical operations easier; it is also the basis for many features of the pandas library.Pandas — A Python library created specifically to facilitate working with data, this is the bread and butter of a lot of Python data science work.NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that makes graphs as you’d find in Excel or Google Sheets. Blending practical work with solid theoretical training, we take you from the basics of Python Programming for Data Science to mastery.This Machine Learning with Python course dives into the basics of machine learning using Python. You'll learn about supervised vs. unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each.We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the Python programming language, this course is for you!Python coding experience

Welcome to this course on Creating Analytics Dashboard and Business Intelligence Reports in Microsoft Power BI and Tableau. Here you will learn to create various kinds of Visualization charts based on a dataset using its columns and field, where you will learn to perform various operations such finding insights about data, outliers and trends. You will also learn how to customize these charts based on various parameters such as color, size, scale, text and much more. Each chart has some different set of properties that are unique to them, and you will be learning about them in some details in form of dedicated lessons on individual charts. You will learn to create various kinds of charts ranging from simple to advanced. Simple charts include- bar, line and pie chart, while complex charts include Ribbon, Dual Axis and Butterfly charts and much more. You will not just learn about creating these charts but you will also learn to used them to find insights and narrate it to others. You will also learn to create slicer filters, exporting in Power BI and creating a Dashboard in Tableau. This course is divided into multiple sections where starting sections are dedicated on Power BI, followed by lessons on Tableau. If you want to jump straightly to the Tableau you may skip Power BI sections.In Power BI, you would learn following-Bar chartLine chartPie chartRing chartTree Map chartMap ChartTable and MatrixRibbon ChartDrill DownSlicer FilterView and Export data in CSVUsing live web dataIn Tableau, you would learn following-Various chart types- Bar, Pie, Tree Map, Map, Bubble and much moreMap ChartConverting Measure to Dimension and vice versaDual Axis ChartMultiple worksheet

Scalable, production-ready code? Its here!How This Course WorksThis will expose you to challenging problems and clever solutions when handling subjects like capture frames from webcams!What Technology You'll UseBecause we are building a full stack application, we will use a variety of technologies. On the frontend, we'll use React and Next JS to present content to users. Each service is created using Node and Express. Data for each service is held in either a Mongo database. Finally, almost all of the code in this course is written with Typescript.This is a scary list of technologies! Not familiar with some of these? No problem! The course is built assuming that you only know the basics of Javascript and Express. No other knowledge is needed - you will learn everything you need to know.What You'll Be Able to DoBy the time you complete this course, you will be able to:Architect a multi-service applicationDetermine whether your app is a good fit for a select area of webcams to watch for objectsOrganize and enhance the reusability of code in large projectsWhat You'll LearnAn absolute incredible number of topics are covered in this course. Here is a partial list of what you'll do:Practice for capture frames of webcamsWrite a custom implementation of an ordered queueOptionally, run a server with endpoint with rooms and websocket alert listenersGuarantee consistently structured responses from your different API'sAnd mu

NOTE: This is five of my flagship courses bundled into one: Beginner's Guide to PHP Build Professional PHP Applications With Object-Oriented ProgrammingSecure Session-Based Login ScriptHow to Submit an HTML Form to a MySQL Database Using PHPFreelancing on UpworkAll 5 are included in this course.Hey, I'm John. I've been a freelance web developer for over 12 years. You might know me from my popular YouTube channel or the work I've done for well-known clients like New York Times Bestselling Author Michael Hyatt, Internet Celebrity (and Ellen regular) Lewis Howes, Inc. Magazine and others.Over the years, I've taught hundreds of thousands of web developers how to code.And, I've finally put my flagship PHP courses here on Udemy.That's what this course is.I've taken my five most popular training courses and packaged them here in one big mega-course that's going to take you from beginner to building the kind of professional PHP applications clients and employers are starving for. But, let me be upfront with you before you go any further...I teach leaders...People willing to break the rules.My goal for you isn't for you to just know what everyone else does. I'm going to challenge you to think differently and deeper... to be creative and try new things. I don't want you to be the one simply using the shiny new "thing" someone else developed. I want you to be the one building that shiny new thing.The latest and greatest design pattern...Or, a newer and better framework...The next multi-million user application.I don't want you to just be a user of these things. I want you to be the "mastermind" behind them. Sounds amazing... but, it's no small task. So, I'm not going to just show you one way of doing things or give you all "my" answers. I