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Existe toda una rama de las matemáticas dedicada simplemente a los nudos… y ha cambiado el mundo. Te ayudaremos, puedes ir a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días y las primeras 200 personas obtendrán un 20 % de descuento en una suscripción premium anual.
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Muchas gracias al Prof. Colin Adams por su excelente ayuda al guiarnos a través del mundo de los nudos.
Muchas gracias al Prof. Doug Smith, Dorian Raymer, el Prof. David Leigh y la Prof. Dorothy Buck por ayudarnos a comprender las aplicaciones de la teoría de nudos.
Muchas gracias al Prof. Dan Silver y al Prof. Jim Hoste por hablar con nosotros sobre la historia y la tabulación de nudos.
Si quieres aprender más sobre los nudos y jugar con ellos tú mismo, consulta:
La increíble herramienta KnotPlot: https://knotplot.com/. ¡Gracias a Rob Scharein por brindarnos ayuda técnica también!
Una tabla de nudos y todas sus invariantes: https://knotinfo.math.indiana.edu/
Knot Atlas para obtener información general sobre nudos: http://katlas.org/wiki/Main_Page
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Referencias en vídeo de la teoría de nudos: https://ve42.co/KnotTheoryRefs
Imágenes y vídeo:
Alexander cortando el nudo gordiano por Donato Creti vía Fine Art America - https://ve42.co/GordianCut
Tablet de Indus Valley a través de Quora - https://ve42.co/IndusValley
Páginas del Libro de Kells a través del National Trust of Scotland: https://ve42.co/BookOfKells
Diseños celtas medievales de @thebookofkellsofficial a través de Instagram - https://ve42.co/KellsInsta
Nudos chinos de YWang9174 a través de Wikimedia Commons - https://ve42.co/Panchang
Cables Quipu de Pi3.124 vía Wikimedia Commons - https://ve42.co/Quipu
Heráldica de Borromeo a través de Terre Borromeo - https://ve42.co/Borromeo
Carta de Birman/Jones vía Celebratio Mathematica - https://ve42.co/JonesBirman
Nudo de trébol molecular de piedra M a través de Wikimedia Commons - https://ve42.co/TrefoilMolecule
Estructura de rayos X del nudo trébol por Ll0103 a través de Wikimedia Commons - https://ve42.co/XrayTrefoil
Animación de bacterias de Your Body's Molecular Machines por Drew Berry a través del Instituto de Investigación Médica Walter y Eliza Hall - http://wehi.tv
Topoisomerasa y nudos de Orlandini et al. Sinergia de la topoisomerasa. PNAS, vol. 116, núm. 17, 2019, págs. 8149–8154. – https://ve42.co/Orlandini2019
KnotProt 2.0: una base de datos de proteínas con nudos y nudos corredizos - https://ve42.co/Knotprot
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Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver.
Animado por Fabio Albertelli, Ivy Tello, Jakub Misiek y Mike Radjabov.
Filmado por Derek Muller, Raquel Nuno y Emily Zhang
Producido por Emily Zhang y Derek Muller
Miniatura de Ignat Berbeci y Mike Radjabov
Vídeo/fotos adicionales proporcionadas por Getty Images y Pond5
Música de Epidemic Sound
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Data Blending in Tableau |Data Blending vs Data Joining in Tableau |Tableau Training |Edureka Rewind
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This Edureka video on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending.
We shall discuss the following topics:
00:00:00 Introduction
00:01:10 Objective of data blending
00:03:53 Introduction to Data Blending
00:04:12 Joining vs Blending
00:07:12 Blending in Tableau
00:10:13 Limitations of Data Blending
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/advance....d-artificial-intelli
This video on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful.
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU
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![История развития видео [Veritasium]](https://i.ytimg.com/vi/JfQ3w-4JOHo/maxresdefault.jpg)
Дерек расскажет о том, как появилось и как развивалось видео.
От первого факса в 1843 году, механического телевидения с диском Нипкова, живого вещания с ЭЛТ и до сегодняшних реалий со сверхскоростными видеокамерами и ssd.
С помощью замедленного видео, снятого на сверхскоростную камеру phantom v2512, покажет как отрисовывались строчки.
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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
----------------------
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 sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/machine-lea (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics Covered:
00:00 Introduction
00:37 Google Map
02:02 Facebook
03:58 Uber/Uber Eats
05:12 Amazon
06:16 iPhone
07:51 Tesla
09:48 Netflix
10:25 Moley
11:38 Google Translate
12:42 Kuka
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification will provide a 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 the python programming language. Furthermore, in this Machine Learning with Python Training, you will be taught 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.
What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enroll in the Machine Learning online course.
** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Check out our playlist for more videos: http://bit.ly/2taym8X
Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining
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!
00:00 Introduction
00:37 Google Map
02:02 Facebook
03:58 Uber/Uber Eats
05:12 Amazon
06:16 iPhone
07:51 Tesla
09:48 Netflix
10:25 Moley
11:38 Google Translate
12:42 Kuka
- - - - - - - - - - - - - - - - -
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 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.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present
- - - - - - - - - - - - - - - - - - -
Why learn Machine Learning with Python?
Data Science is a set of techniques that enable 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.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)
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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Introduction To Machine Learning' is the first class in the Python Machine Learning Series which gives a brief introduction to Machine Learning along with types of Machine Learning, and why we use Python programming for Machine Learning.
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How it Works?
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the python programming language and many more.
--------------------------
Why Learn Machine Learning using Python?
Data Science is a set of techniques that enables 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.
--------------------------
Who should go for this Machine Learning Certification Training using Python?
- 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
--------------------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775
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This Machine Learning Beginners To Advanced Course 2023 video covers all the topics that you need to know to become a master in the field of Machine Learning. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression, K Means Clustering, Decision Tree, and Support Vector.
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➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
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In this Machine Learning with R full course video, you will understand the basics of machine learning and look at the various applications of Machine Learning. You will learn R programming in detail and understand some vital machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, SVM, and hierarchical clustering techniques.
00:00:00 Machine Learning basics
00:14:25 R Programming
00:32:03 Machine Learning algorithms
05:51:25 Linear regression
06:20:16 Logistic regression
06:38:14 Decision Tree and Random forest
07:47:52 SVM - Support Vector Machine
08:06:56 Clustering
08:48:55Time Series Analysis
🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearningwithRFullCourse&utm_medium=Description&utm_source=youtube
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#MachineLearningWithR #MachineLearningTypes #MachineLearning #MachineLearningTutorial #MachineLearningCourse #MachineLearningAlgorithms #Simplilearn
What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. These applications learn, grow, change, and develop when exposed to new data.
What is Supervised Learning?
In supervised learning, we use known or labeled data for the training data. Since the data is known, the learning is supervised, i.e., directed into successful execution. The input data goes through the Machine Learning algorithm and is used to train the model.
What is Unsupervised Learning?
In unsupervised learning, the training data is unknown and unlabeled - meaning that no one has looked at the data before. Without known data, the input cannot be guided to the algorithm, which is where the unsupervised term originates. This data is fed to the Machine Learning algorithm and is used to train the model. The trained model searches for a pattern and gives the desired response. In this case, it is often like the algorithm is trying to break code like the Enigma machine but without the human mind directly involved but rather a machine.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningwithRFullCourse-OIucMBala0A&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
This Generative AI full course is designed to help you understand and explore the power of AI in the most simple and practical way. Whether you're a beginner or just curious about how tools like ChatGPT, Midjourney, or other AI systems work, this course covers everything from the basics of what Generative AI is, how to communicate with AI using effective prompts, and real-life use cases in content creation, business, and productivity.
00:00:00:Introduction
00:02:06 What is Machine learning?
00:18:42 Types of Machine Learning Models
00:25:56 Mathematics for Machine Learning
02:08:43 Machine Learning Algo
02:30:38 How to select the correct predictive modeling techniques?
02:42:48 Linear Regression Algorithm
02:50:14 Logistic Regression Algorithm
03:37:27 Linear Regression Vs Logistic Regression
03:40:58 MLOps for Beginners
03:53:00 How to Become a Machine Learning Engineer?
04:02:31 Machine learning Engineer Skills
04:10:40 Machine Learning Roadmap
04:20:32 Machine Learning Tips
04:27:12 What is Generative AI?
04:40:42 Generative AI Examples
04:59:21 Generative AI Tools
05:20:46 What Are GANs?
05:33:08 Generate Images Using DC-GAN
05:57:41 Transformers In Gen AI
06:05:20 Generative AI Course - Part 1 - What is LLM?
06:25:04 Generative AI Course - Part 2 - What is LangChain?
06:42:19 Generative AI Course - Part 3 - What is RAG?
07:05:11 Prompt Engineering Explained
07:18:56 Prompt Engineering for Code Generation
07:28:16 Building a Chatbot with Prompt Engineering
07:44:10 GitHub Copilot
08:01:36 OpenAI API using Python
08:09:51 Midjourney
08:28:12 Generative AI in Marketing
08:38:42 Exploring the Ethics of Generative AI
08:46:12 Nvidia's Latest Breakthrough in Generative AI
08:52:49 DeepSeek vs OpenAI: Who Wins the AI Race?
09:05:22 The Future of Generative AI and Job Opportunities
09:11:06 GenAI Roadmap
09:19:51 Generative AI Interview Questions
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4
📝Feel free to share your comments below.📝
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.
𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
🔥Data Science with Python Certification Course: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4
📝Feel free to share your comments below.📝
🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.
Use Flutter 3.7 to build a Twitter clone in this full course. We will cover various features such as signing up and signing in with email and password, tweeting text, images, and links, identifying and storing hashtags, displaying tweets, liking tweets, retweeting, commenting/replying, following users, searching for users, displaying followers, following, and recent tweets, editing user profiles, showing tweets with specific hashtags, and a premium feature called "Twitter Blue". Additionally, we will also be implementing a notifications tab that will show notifications when someone replies to you, follows you, likes your tweet or retweets. By the end of this tutorial, you'll have a fully-functional Twitter clone that you can further customize and improve upon.
Tech Used - Flutter, Appwrite Authentication, Database, Storage, Realtime, Queries, Indexes, Riverpod.
Prerequisites: Flutter & Dart Basics
✏️ Course developed by @RivaanRanawat
💻 Source Code - https://github.com/RivaanRanaw....at/flutter_twitter_c
📌 Discord Server (Join the Community) - https://discord.gg/Q8Rx8YWFVF
ADB Command - adb reverse tcp:3000 tcp:3000
📄 Resources:
Assets - https://github.com/RivaanRanaw....at/flutter_twitter_c/tree/master/assets/svgs
Asset Constants File - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/constants/assets_constants.dart
Pallete (Colours File) - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/theme/pallete.dart
Theme File - https://github.com/RivaanRanaw....at/flutter_twitter_c/blob/master/lib/theme/app_theme.dart
Appwrite Docs - https://appwrite.io/docs
⭐️ Contents ⭐️
(0:00:00) Introduction
(0:02:07) Appwrite & Docker Installation
(0:05:31) Important Appwrite Commands
(0:07:14) Appwrite Setup for Android & iOS
(0:09:32) Setting up Flutter Project
(0:17:59) Architectural & Folder Pattern
(0:24:37) Login UI
(0:49:53) Signup UI
(0:55:23) Signing Up User with Appwrite Auth
(1:16:37) Providing the Class / Dependency Injection
(1:25:03) Signing Up User contd. (Auth Controller)
(1:49:11) Login User with Appwrite Auth
(1:54:12) Adding Proper Navigation
(1:57:22) Persisting Auth State
(2:06:37) Saving User Data to Appwrite Database
(2:33:03) FIXING Android Related Problems
(2:34:31) Solving Appwrite unauthorized_scope Problem
(2:36:27) Home Screen UI
(2:44:43) Create Tweet Screen UI
(2:58:16) FIXING User Data Storage & Retrieval Bug
(3:00:43) Create Tweet Screen UI contd.
(3:08:23) Picking Multiple Images & Displaying in Carousel
(3:17:48) Storing Tweets to Appwrite Database & Appwrite Storage
(4:01:46) Displaying Tweets
(4:38:07) Displaying New Tweets LIVE with Appwrite Realtime
(5:01:04) Like Button Animation
(5:04:53) Liking Tweet
(5:16:38) Retweeting / Resharing Tweet (Realtime)
(5:40:52) Replying to other user’s Tweets
(6:18:06) Searching Users
(6:37:21) Displaying User Profiles
(7:04:39) Editing User Own Profile
(7:31:57) Updating User Profile Data Realtime
(7:41:30) Following Other users
(7:52:54) Sending Notifications when User Likes
(8:10:07) FIXING Like Bug
(8:10:58) Displaying & Sending Notifications
(8:38:47) Displaying Posts By Hashtags
(8:48:57) Side Drawer UI & Navigation to Current User Profile
(8:54:11) TWITTER BLUE
(8:59:23) Logging Out with Appwrite Auth
(9:02:27) Conclusion
🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/advance....d-artificial-intelli
This Edureka "Convolutional Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you in understanding what is Convolutional Neural Network and how it works. It also includes a use-case, in which we will be creating a classifier using TensorFlow.
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh
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📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/
Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
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Excel Full Course For Beginners by simplilearn is dedicated to help aspiring data analysts and business analysts to learn the Excel Basics. This Excel Basics Training Course 2023 by Simplilearn will cover the filters, sorting, data formatting, condtional formatting, data validations, lookup functions, pivot tables and much more.
00:00:00 Excel Basic Knowledge
00:05:22 How To Lock(Protect) Cells In Excel
00:23:31 Excel Print Page Setup
00:27:51 Goal Seek In Excel
00:30:20 How To Freeze Row In Excel Tutorial
00:48:20 Charts In Excel
00:51:40 Conditional Formatting In Excel
00:57:24 How to Count Colored Cells in Excel?
01:24:08 Data Validation In Excel
02:04:10 Excel Lookup Tutorial
02:06:22 How to implement Vstack Function In Excel
02:10:47 How To Convert PDF To Excel
02:13:20 Excel Round Off Formula
02:15:47 Combining Data From Multiple Cells In Excel
02:19:13 DateDif In Excel Explained
02:23:08 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
02:26:41 How to Create a Pivot Table Using Multiple Sheets in Excel
02:31:05 Slicers In Excel
03:09:53 Excel Tips And Tricks 2021
03:17:30 SUMIFS Formula in Excel
03:28:36 How to Create Drop Down List In Excel?
03:35:29 Excel Budget Template 2021
03:45:37 Excel MIS Report
04:42:54 Excel Power Query Tutorial For Beginners
05:10:53 Pivot Tables In Excel
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➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.
✅ Key features
- Simplilearn Career Service helps you get noticed by top hiring companies
- Data Analytics Bootcamp Certificate from Caltech CTME
- Caltech CTME Circle Membership
- Online Convocation by Caltech CTME Program Director
- Access to integrated Data Analytics Labs
✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analytics using Python
- Data Visualization with Tableau
- Linear and Logistic Regression
- Data Manipulation
- Data Analysis in AWS
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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
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