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Develop Android App with Kotlin

Hello students! Everyone will accept that Andro... Moreid has major share in smartphone applications and it is still growing. All types of businesses - Be it small or large or medium; are making their own App. Also there is a major share of Apps developed for individual level use. I am Altaf and I’ve designed this course for you. In this course I and my assistant are going to explain development process of Android App for To-Do List Application. This course teaches you practical steps to develop this Android App with Kotlin. This course covers all steps required for the development. With each video course, we have provided related source code files and important resources. This online video course is designed specifically keeping academic students in mind. If you are college students and looking for Android Live Project. It is best course for you. All students who are completing this course will be provided with course completion certificate. In addition to course completion certificate, we also provide live project completion certificate - Once you submit completed App Screenshot. This project certificate will be awarded from our company Nimetler Technologies Private Limited. Project completion certificate provided by us is helpful for your career growth as recognizance of your experience in Android development. All the best and Join Us! Less
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[100% OFF] Python for beginners - Learn all the basics of python Free

Have you always wanted to learn programming but di... Moredn't know where to start ? Well now you are at the right place ! I created this python course to help everyone learn all the basics of this programming language. This course is really straight to the point and will give you all the notion about python. Also, the course is not that long so and the way the material is presented is very easy to assimilate. So if python is something that you are interested about, then you will definitely like this course. Enjoy your learning :) Who this course is for: People interested to learn how to program in python people curious about programming Less
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[100% OFF] GraphQL from Scratch - Realtime MERN Stack with React Node Free

Learn GraphQL from Scratch with MERN Stack (Mongo ... MoreExpress React Node) and Firebase to build Truly Realtime Web Apps. So if you are looking to Build Lightning Fast Realtime Web Apps using GraphQL with MERN Stack, don't waste your valuable time wandering around and trying to learn it from 10 different resources. I have packed everything into this course for you to fully understand all the practical GraphQL concepts... from basic to advance. Ready to go FullStack GraphQL with Node React MongoDB Firebase Authentication CRUD Realtime Subscriptions Deployment and more Join me :) Less
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[100% OFF] 50-point SEO Audit 2020 To Test Your Site Or As Freelancer Free

Learn to do an SEO audit with my comprehensive 50-... Morepoint checklist. You will be able to not only identify problems on your site, but I'll show you how to fix them on your own. My goal is for you to be able to find and fix SEO problems on your site. You will only need to hire freelancers to do the intermediate to advanced technical work that is beyond SEO. Sometimes you will encounter SEO issues that can be fixed by a software engineer or a network engineer. In those cases, I recommend that you hire a freelancer. But in most cases, I show you how to fix the SEO problems on your own. After The Audit, You Will Have: After performing the audit, you'll have a list of improvements and an ability to implement: Making your site mobile Improving site load speed Content quality Optimal content strategy with full site crawling, indexing, and ranking potential Sell SEO Audit Services As A Freelancer Or As An Agency Service SEO audits are a popular service to provide. After this course, you'll be able to impress potential clients that you will give them an impressive and comprehensive site audit with many actionable items they can implement. After that, you will be able to implement most of those action items and make more revenue from that. Who this course is for: Website owners, entrepreneurs, freelancers Less
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[100% OFF] The Self-Taught Programmer

The Definitive Guide to Programming Professionally
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[100% OFF] Learn Complete Python-3 GUI using Tkinter Free

Through this Course master in Python Tkinter &... More Create real world projects! Less
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[100% OFF] Python Game Development™: Build 5 Professional Games Free

Have you ever wanted to build a game with a graphi... Morecal interface but didn't know how to? Maybe you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course, we will be learning Python GUI Programming + Turtle + other advanced python modules to build graphical user interfaces (GUI) and games from scratch. Game projects covered: 1. Solitaire 2. Space Shooter 3. Chain Reaction 4. Pac-man 5. Car Racing 6. Snake and many more. Basic Python course Highlights: Installing Python Running Python Code Strings Lists Dictionaries Tuples Sets Number Data Types Print Formatting Functions Scope args/ kwargs Built-in Functions Debugging and Error Handling Modules External Modules Object-Oriented Programming Inheritance Polymorphism Encapsulation Advanced Methods Iterators Closures and much more! Less
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[100% OFF] Complete Python Bootcamp for Data Science& Machine Learning Free

This comprehensive course will be your guide to le... Morearning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! Enroll in the course and become a data scientist today! Less
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[100% OFF] Azure Kubernetes Service - AKS Free

Learn how to create and manage Kubernetes using on... Moree of the leading managed services on the market. Azure Kubernetes Service Zero to Hero admin guide is an intermediate course which describes: Comparison of Managed vs self-managed Kubernetes solutions; Pros and Cons of Managed Kubernetes services; AKS Capacity Analysis; Detailed AKS network architecture; How to create an AKS cluster using Azure Portal and Azure CLI; Integrate AKS with Active Directory; Create Kubernetes users using self-signed certificates; How AKS creates and manages Azure storage resources; AKS monitoring and log debugging. Who this course is for: Fearless Kubernetes administrators. Less
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[100% OFF] CISSP Master Class: Become A CISSP Today Free

In this CISSP Master Class: Become a CISSP Today .... More I will help you with all the knowledge you need to pass the CISSP Certification. Hi, I am Sagar Bansal, . I have helped hundreds of students to pass CISSP Exam within their first attempt. For me, It is a simple exam in English, you need to answer the Questions from (ISC)²'s point of view, in their perfect world. Understand and answer every question from a Manager or a Risk Advisers point of view, NOT from an executive or as a techie. Most hands-on techies that fail the CISSP exams do so because they answer from a point of being reactive, not being proactive. The CISSP exam is using the Computerized Adaptive Testing (CAT) format, and is 3 hour long and will have 100-150 questions. Most people studying for the CISSP certification will use multiple books, video courses, and 3-5000 practice questions before taking the exam, this really is the path to success. Who is the target audience? Anyone wanting lean more about the CISSP certification! People wanting to grow their IT Security and Cyber Security knowledge New and experienced IT Security professionals Anyone wanting to break into IT Security Basic knowledge Wanting to pass the Information Systems Security Professional (CISSP) Certification Exam Wanting to learn about management level IT Security and Cyber Security What will you learn Prepare for the latest version of the Information Systems Security Professional (CISSP) Certification Exam Learn why you want to get your CISSP certification, what it can give you Where to start on your CISSP certification journey Learn why you want to get your CISSP certification, what it can give you Understand IT Security and Cyber Security from a management level perspective Less
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[100% OFF] HTML, CSS, & Bootstrap - Certification Course for Beginners Free

Description This course covers three essential co... Morencepts for aspiring Web Developers. This includes HTML, CSS, & Bootstrap. Each section comes complete with comprehensive lessons that help students master the art of front-end coding. The course is divided as follows: HTML Development This section explores HTML. HTML is a key fundamental building block when learning to develop websites. Students initially learn the basics of HTML page structure and gradually transition into working with spacing, text formatting, lists, images, videos, links, anchors, tables, forms and much more. We include several projects, where students are shown first-hand, how to develop and code html web pages from scratch. CSS Development Students learn to use CSS to create stylish, responsive web page layouts. We start by discussing the parts and types of CSS rules, followed by CSS classes, DIVS, and ID's. Students gain significant exposure to various formatting options, including margins, padding, font properties, backgrounds, transparency, positioning, link styling and CSS tables. This section includes a hands-on web development project where students utilize the concepts explored in the lesson. Bootstrap Framework Students are taught to use the Bootstrap framework for responsive, mobile-first - front-end development. As one of the leading open-source development libraries, Bootstrap is an essential part of the developers coding arsenal. The section begins with teaching students how to include essential Bootstrap files into web pages. It then explores the Bootstrap Grid system and popular layout strategies for optimal cross-device and cross-browser compatibility. Students gain exposure to just about every Bootstrap component, from typography, tables and images, to jumbotrons, wells, alerts, buttons, glyphicons and progress bars. The section includes several hands-on exercises that will walk students through the process of creating stunning layouts, complete with modals, carousels, popovers, drop-down menus, forms and much more. Less
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[100% OFF] Oracle SQL : Practical Examples : Go from Beginner to Master Free

***SQL course which gained immediate popularity wi... Moreth the launch on UDEMY*** ============================================================================ ***Continuously being updated with new topics/videos every week*** ***Added lecture SQL vs NOSQL*** > 19 Dec 2019 (under Interview Section) ***Added Interview Section*** > 15 Dec 2019 *** Added lecture Most Important SQL Queries*** > 15 Dec 2019 ***Added lecture What is VIEW?*** > 15 Dec 2019 ============================================================================= You need to learn the most important and powerful language of the database world - SQL which makes your programming skills complete and enriched in just less than 20 hours of study! If you have already wasted your time and money in hunting for a complete yet concise course in SQL through random youtube videos or offered by inexperienced people - then you are at the right place here. This course brings step-by-step lessons in its logical series of videos to help you master the art and science of SQL. Moreover there is not even a basic knowledge of programming envisaged while designing this course. This course has been brought by an highly experienced faculty who have had 20+ years of experience in working as Oracle developer and DBA out of which 6 years onside in USA and UK. The faculty has been working in Oracle field ranging from Oracle version 6 to the latest 19C. This course is for everybody who likes to make career in database programming, front end programming, ERP, or in general succeed as an IT professional, management people and undergraduate students of any stream. This course is covered on Oracle's LiveSQL platform available on web hence does not require any local installation of Oracle, yet the students can practice on latest version, the current is Oracle 19C. Being on web, students can learn, take notes or do practice sitting anywhere as Oracle LiveSQL is accessible on all the devices - PC, Laptops or even Mobiles. Who this course is for: Students interested in database back end programming Programmers in any other front end language like Java or PHP or Python etc, must learn SQL Engineering students, Computer Science students, Science / Commerce students - All pursuing UG or PG or completed with degree Management people who are required to draw ad-hoc data as per requirement Less
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[100% OFF] Core Java Interview Bootcamp To Handle Interviews With Confidence. Free

Hi everyone :) Having you stop here simply mean... Mores you are either preparing for a core java interview or want to know the most widely asked questions in the room. This course is intended for you folks, perfectly. The course basically aims at providing an in-depth explanation to most continuously asked questions through very engaging animated PPTs. Whether it's string, or exceptions, or multi-threading, I have got your back on most asked questions from these topics. The much important thing is the clear and concise clarity in explanations that you will get from this course. Note: 1. The course is not intended for complete beginners! You need to have at least basic to intermediate knowledge of core java. 2. I will keep on adding brand new most asked questions regularly. So, this course is not just limited to a fixed number of questions! Rest assured, you will enjoy this awesome Bootcamp with me. See you in the course... Over n Out :) Less
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[100% OFF] GraphQL from Scratch with React Node Free

Looking to Build Lightning Fast Realtime Web Apps ... Moreusing GraphQL with MERN Stack? This course is your starting point to be able to build Modern Web Apps for present and future. Get started with very easy to follow lectures to make yourself comfortable with GraphQL and learn how you can combine it with Node and MongoDB to build GraphQL Server and also learn to combine with React to build GraphQL Client. Less
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[100% OFF] The Complete Guide Angular 8 for Java Developers 2020 Free

Angular is a TypeScript-based open-source front-en... Mored web application platform led by the Angular Team at Google and by a community of individuals and corporations to address all of the parts of the developer's workflow while building complex web applications. Angular is a complete rewrite from the same team that built AngularJS. Angular is a framework for building client applications in HTML and either JavaScript or a language like TypeScript that compiles to JavaScript. Angular combines declarative templates, dependency injection, end to end tooling, and integrated best practices to solve development challenges. Angular empowers developers to build applications that live on the web, mobile, or the desktop. This course is for existing Java developers who want to learn the popular Angular framework for developing front-end Web interfaces. In the course we cover all of the main principles of building websites in Angular, including the Typescript Language. This is taught with reference to Java and Java web technology examples, making it a very quick and easy way for Java developers to upgrade their skills to Angular. No prior knowledge of Javascript or Typescript is needed, although some basic HTML is useful. Who this course is for: web developers, .net developers, java developers, python developers Less
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[100% OFF] Complete MySQL Course: Beginner to Advanced

Complete MySQL course. Learn MySQL from scratch an... Mored go from beginner to advanced in MySQL. Less
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232 used, 100% success rate

[100% OFF] Deep Learning for Beginners: Neural Networks in R Studio Free

You're looking for a complete Artificial Neural Ne... Moretwork (ANN) course that teaches you everything you need to create a Neural Network model in R, right? You've found the right Neural Networks course! After completing this course you will be able to: Identify the business problem which can be solved using Neural network Models. Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc. Create Neural network models in R using Keras and Tensorflow libraries and analyze their results. Confidently practice, discuss and understand Deep Learning concepts How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course. If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in R Studio without getting too Mathematical. Why should you choose this course? This course covers all the steps that one should take to create a predictive model using Neural Networks. Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Practice test, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems. Below are the course contents of this course on ANN: Part 1 - Setting up R studio and R Crash course This part gets you started with R. This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R. Part 2 - Theoretical Concepts This part will give you a solid understanding of concepts involved in Neural Networks. In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model. Part 3 - Creating Regression and Classification ANN model in R In this part you will learn how to create ANN models in R Studio. We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models. We also understand the importance of libraries such as Keras and TensorFlow in this part. Part 4 - Data Preprocessing In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. Part 5 - Classic ML technique - Linear Regression This section starts with simple linear regression and then covers multiple linear regression. We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem. By the end of this course, your confidence in creating a Neural Network model in R will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below are some popular FAQs of students who want to start their Deep learning journey- Why use R for Deep Learning? Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R 1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing. 2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind. 3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science. 4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R. 5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Neural Network journey Statisticians needing more practical experience Anyone curious to master ANN from Beginner level in short span of time Less
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[100% OFF] Decision Trees, Random Forests, AdaBoost & XGBoost in Python Free

You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right? You've found the right Decision Trees and tree based advanced techniques course! After completing this course you will be able to: Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning. Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result. Confidently practice, discuss and understand Machine Learning concepts How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course. If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost. Why should you choose this course? This course covers all the steps that one should take while solving a business problem through Decision tree. Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business. What makes us qualified to teach you? The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones: This is very good, i love the fact the all explanation given can be understood by a layman - Joshua Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy Our Promise Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message. Download Practice files, take Quizzes, and complete Assignments With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. What is covered in this course? This course teaches you all the steps of creating a decision tree based model, which are some of the most popular Machine Learning model, to solve business problems. Below are the course contents of this course on Linear Regression: Section 1 - Introduction to Machine Learning In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model. Section 2 - Python basic This section gets you started with Python. This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn. Section 3 - Pre-processing and Simple Decision trees In this section you will learn what actions you need to take to prepare it for the analysis, these steps are very important for creating a meaningful. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In the end we will create and plot a simple Regression decision tree. Section 4 - Simple Classification Tree This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python Section 5, 6 and 7 - Ensemble technique In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost. By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree modelling to create predictive models and solve business problems. Go ahead and click the enroll button, and I'll see you in lesson 1! Cheers Start-Tech Academy ------------ Below is a list of popular FAQs of students who want to start their Machine learning journey- What is Machine Learning? Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. What are the steps I should follow to be able to build a Machine Learning model? You can divide your learning process into 4 parts: Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part. Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you. Why use Python for data Machine Learning? Understanding Python is one of the valuable skills needed for a career in Machine Learning. Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history: In 2016, it overtook R on Kaggle, the premier platform for data science competitions. In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools. In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals. Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well. What is the difference between Data Mining, Machine Learning, and Deep Learning? Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions. Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning. Who this course is for: People pursuing a career in data science Working Professionals beginning their Data journey Statisticians needing more practical experience Anyone curious to master Decision Tree technique from Beginner to Advanced in short span of time Less
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