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This video on Angular Full Course or Angular Tutorial will introduce to you the fundamental concepts of this framework. Angular is a full-fledged JavaScript front-end framework used to create Single page applications. There's a great demand for angular developers in the market today. If you wish to learn Angular then this Angular Full Course video will definitely help.
This Angular Full course will cover the following topics -
00:00:00 Angular Full Course Introduction
00:03:31 What is Angular?
00:04:25 Features of Angular
00:07:17 Angular Architecture
00:07:58 Advantages of Angular
00:09:35 Angular Versions
00:10:44 Limitations of Angular
00:12:50 Angular Hello world
00:17:48 Angular Components
00:20:14 Creating an Angular Component
00:26:45 Components Decorator
00:29:09 Angular Dependency Injection
00:30:44 Demerits of not using Dependency Injection
00:32:07 DI as a Design Pattern
00:32:54 Dependency Injection Demo
00:43:26 Angular Forms
00:44:16 Types of Form Building in Angular
00:46:16 Form Control and Form Group in Angular
01:03:16 Angular Services
01:05:16 Features of Angular Services
01:28:48 Angular Bootstrap
01:30:25 Embedding Bootstrap in Angular
01:31:16 Creating an App with Angular Bootstrap
01:54:46 Angular routing
02:08:06 React vs Angular vs Vue
02:16:50 What's new with Angular 10
02:25:55 Angular Interview Questions
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About Full Stack Web Developer - MEAN Stack Course:
This program will advance your career as a MEAN stack developer. You’ll learn top skills such as MongoDB, Express.js, Angular, and Node.js (“MEAN”), plus GIT, HTML, CSS, and JavaScript to build and deploy interactive applications and services. This Full Stack MEAN Developer program provides complete knowledge of software development and testing technologies such as JavaScript, Node.js, Angular, Docker, and Protractor. You'll build an end-to-end application, test and deploy code, and store data using MongoDB.
Key Features:
✅ Comprehensive Blended Learning program
✅ 270 hours of in-depth training
✅ 150 hours of instructor-led training
✅120 hours of self-paced learning
✅ 20 + in-demand tools and skills
✅ 10 lesson-end & 4 phase-end projects
✅ Choose from 4 industry-aligned capstone projects
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Get a brief introduction to software development lifecycle in just 5 minutes! So lets understand what is software development !
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In this video on 'The introduction to Software Development Life Cycle,' we will look into the multiple phases of software application development. These different phases are designed to produce the most optimized result for the software's functioning, and each phase acts based on multiple pre-designed protocols and steps.
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What software development?
The term "software development" often refers to computer science operations such as developing, deploying, and maintaining software.
The set of instructions or programs known as software is what directs a computer's operations. It works independently of hardware and enables programming on computers.
Who are software developers?
A software developer is a person who uses programming and design knowledge to build software that meets the needs of the user.
Software development programming languages?
HTML - Html is a Hypertext Markup Language that describes the structure of an application
JAVA - Many useful software development tools like Eclipse, NetBeans, and many more are written in Java. Nowadays, Java is often the default choice for scientific applications.
C - C is widely used to develop compilers and low-level programs and works closely with computer hardware. Many other language compilers are created using C.
PYTHON - Python is most commonly used for developing software and websites, task automation, and data visualization since it's easy to learn.
R - Using R, you will be able to build R packages, develop custom visualizations, and many more to solve data science problems.
CSS - Cascading Style sheets are the fundamental lingerie for software development. It will help you to learn how to create and access web pages.
JAVA SCRIPT MANY MORE - This is used to create an interactive web page with simple functions and designs and is user-friendly.
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Software Development Life Cycle (SDLC), refers to the combination of multiple phases that are pre-designed to produce the most optimized software product and to develop it according to the client's request.
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This course from Harvard University explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like large language models, game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs.
This course has been updated for 2023 to include an in-depth section on large language models.
✏️ Course developed by Brian Yu for Harvard University. Learn more about Brian: https://brianyu.me/
🔗 Course resources: https://cs50.harvard.edu/ai/2020/
⭐️ Course Contents ⭐️
⌨️ (00:00:00) Introuction
⌨️ (00:02:26) Search
⌨️ (01:51:55) Knowledge
⌨️ (03:39:39) Uncertainty
⌨️ (05:34:08) Optimization
⌨️ (07:18:52) Learning
⌨️ (09:04:41) Neural Networks
⌨️ (10:46:00) Language
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Join us as this video reveals the 5 best cloud computing certifications that can supercharge your career. In this video, we'll break down the top choices and provide valuable insights into how these cloud certifications can elevate your skills and open doors to exciting opportunities in the
cloud industry. Don't miss this comprehensive guide to your cloud career success!
This video by Edureka will cover the following Top 5 Cloud Certifications:
✅ 00:00 Introduction to Cloud
✅ 02:24 Amazon Web Services (AWS) Solutions Architect - Associate.
✅ 04:18 Microsoft Certified: Azure Solutions Architect Expert
✅ 06:13 Google Cloud Professional Cloud Architect certificate.
✅ 07:35 Salesforce Associate Certification
✅ 09:28 Microsoft Certified Azure DevOps Engineer Expert
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PyCharm Python Tutorial. PyCharm for Data Science.
https://github.com/datamites/p....ublic_datasets/tree/
https://github.com/datamites/b....an_house_price_pycha
00:00 Why PyCharm?
02:32 PyCharm Installation.
03:50 PyCharm Quick Overview
27:33 Data Science Project with PyCharm
34:43 Data Science Project src/feature_processing.py
45:18 Data Science Project Labelencoding
58:22 Data Science Project src/train.py
1:21:04 PyCharm integration with GitHub Repository
#Why is #PyCharm?
#How To do Data Science #Project with PyCharm?
Trainer: Mr.Ashok Veda - https://in.linkedin.com/in/ashokveda
Watch above video to understand Why PyCharm? and How To do Data Science Projects with PyCharm?
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#MachineLearning
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This Edureka video on Machine Learning Steps will help you understand, what are the various steps involved in while developing a Machine Learning Model. By the end of this video you will be able to implement a Machine Learning Pipeline. These are the following topics that are covered in this Machine Learning Steps video:
00:00:00 Introduction
00:00:47 Why Machine Learning?
00:02:04 What is Machine Learning?
00:04:36 Machine Learning PipeLine
00:08:51Demo: Implement a Machine Learning Pipeline
🔹Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
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--------------Edureka Masters Programs--------------
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--------Edureka PGP Courses------------
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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - -
About the Course :
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
-----------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)
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This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
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-------Edureka Masters Programs----------
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🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
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🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
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---------------------------------------Edureka Post Graduate Courses-------------------------------------------
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#edureka #datascienceedureka #SupportVectorMachine #SVM #DataScience #MachineLearning #MachineLearningTraining #learnMachineLearning #withme
----------------------------------------
About the Course :
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?
Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------
Who should go for this Course?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
🔥Edureka Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Edureka session on Machine Learning with Tree-Based Models in Python will help you understand the Bagging & Boosting concepts in detail.
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-----------------------------------------Edureka Masters Programs---------------------------------------------------
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
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🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
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-----------------------------------------Edureka PGP Courses---------------------------------------------------
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About the Masters Program
Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.
The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods
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Prerequisites
There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.
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For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).