🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This video on the Sentiment Analysis in Python is a quick guide for the one who is getting started with Sentiment Analysis.
Second Part: https://youtu.be/27P268Q7pE0

Check out our playlist for more videos: http://bit.ly/2taym8X

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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 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 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.
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This Data Science Interview Questions and Answers video will help you to prepare yourself for Data Science and Big Data Analytics interviews. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in Data Science, Big Data Analytics and Machine Learning.

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

Unpacking how large language models work under the hood
Early view of the next chapter for patrons: https://3b1b.co/early-attention
Special thanks to these supporters: https://3b1b.co/lessons/gpt#thanks

To contribute edits to the subtitles, visit https://translate.3blue1brown.com/

Other recommended resources on the topic.

Richard Turner's introduction is one of the best starting places:
https://arxiv.org/pdf/2304.10557.pdf

Coding a GPT with Andrej Karpathy
https://youtu.be/kCc8FmEb1nY

Introduction to self-attention by John Hewitt
https://web.stanford.edu/class..../cs224n/readings/cs2

History of language models by Brit Cruise:
https://youtu.be/OFS90-FX6pg

Paper about examples like the “woman - man” one presented here:
https://arxiv.org/pdf/1301.3781.pdf

------------------

Timestamps

0:00 - Predict, sample, repeat
3:03 - Inside a transformer
6:36 - Chapter layout
7:20 - The premise of Deep Learning
12:27 - Word embeddings
18:25 - Embeddings beyond words
20:22 - Unembedding
22:22 - Softmax with temperature
26:03 - Up next

------------------
These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

------------------

3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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El Deep Learning ha cambiado el mundo en sólo una década y hoy os contaré cómo esta rama de la informática podría seguir evolucionando. Y lo haremos desde el comienzo, con las redes neuronales más sencillas hasta Google Gemini, la futura promesa de Google DeepMind, pasando eso sí por los enormes modelos fundacionales como ChatGPT. ¡Bienvenidos a la nueva temporada de DotCSV!

📹 EDICIÓN: Carlos Santana y Diego Gonzalez (Diocho)

--- ¡MÁS DOTCSV! ----

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Q. Why Python programming is important?
Python is a highly popular object-oriented language that is fast to learn and easy to deploy. It can run on various systems like Windows, Linux, and Mac; this makes it highly coveted for the Data Analytics domain. Python’s design and libraries provide 10 times productivity compared to C, C++, or Java. A Senior Python Developer in the United States can earn $102,000 – Indeed

Q. Why should you opt for a Python career?
If you want to fast-track your career then you should strongly consider Python. The reason for this is that it is one of the fastest-growing and widely used programming languages. There is a huge demand for Python programmers. The salaries for Python programmers are very good. There is a huge growth opportunity in this domain as well. Hence this Intellipaat Python programming session is your stepping stone to a successful career!
------------------------------
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This video on what is Power BI will help you learn why Power BI is important, the various features of Power BI, and the components of Power BI. Then, you will learn how the architecture of Power BI works and the Power BI service. You will get an idea about how to build dashboards in Power BI. Finally, you will learn how Meijer solved its business problems using Power BI and perform a demo using Power BI. Now, let's dive into learning Power BI in detail.

Below topics are explained in this Power BI tutorial:
0:00 Introduction
0:49 Why Power BI?
02:06 What is Power BI?
02:22 Features of Power BI
03:20 Components of Power BI
04:59 Power BI Service
06:15 Power BI Dashboard
06:50 Create and publish reports in Power BI Dashboard
07:22 Power BI Architecture
07:53 Power BI demo

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Below topics are explained in this Power BI tutorial:
1. Why Power BI? 00:45
2. What is Power BI? 01:57
3. Features of Power BI 02:18
4. Components of Power BI 03:15
5. Architecture of Power BI 07:22
6. Power BI Service 04:59
7. Power BI Dashboard 06:14
8. Power BI Case Study 07:53
9. Power BI Demo 08:59

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➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
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- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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If you're an absolute beginner in web development, you can learn the basics of HTML here. This video covers setting up an HTML file, and the basic HTML tags and what they mean.

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Welcome to our "Cyber Security Course" video, where we explore the basics of cyber security and why it's essential in today's digital world.

Cyber security is the practice of protecting computer systems, networks, and sensitive information from theft, damage, or unauthorized access. With the increasing reliance on technology and the internet, cyber-attacks have become a significant threat to individuals, businesses, and governments alike.

In this video, we'll cover the different types of cyber threats, including viruses, worms, trojans, and phishing scams. We'll also discuss the various techniques used to protect against these threats, such as firewalls, encryption, and intrusion detection systems.

You'll learn about the different roles and responsibilities within the field of cybersecurity, including security analysts, engineers, and administrators. We'll also highlight some of the key skills and qualifications needed to pursue a career in this exciting and fast-growing field.

By the end of this video, you'll have a better understanding of what cyber security is, why it's important, and how you can start taking steps to protect yourself and your digital assets. So, sit back, relax, and join us as we dive into the world of cyber security!

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Intellipaat is a global online professional training provider. We offer some of the most updated, industry-designed certification training programs, including studies in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies.
We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

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📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

👉Following topics are covered in this video:
00:00:00 - Introduction to CyberSecurity
00:07:26 - What is Cyber Security?
00:14:10 - Who is a Cyber Security Engineer?
00:16:20 - Skills required for Cyber Security?
00:18:32 - Learning Path: Cyber Security
00:30:16 - Introduction to Ethical Hacking
00:36:17 - Phases of Ethical Hacking
00:40:18 - Introduction to CEH
00:44:42 - Hacking Tutorial Configuration
00:48:39 - Footprinting with Nercraft
00:54:47 - What is Nmap?
01:08:46 - Network Enumeration with NetBIOS
01:19:47 - System Hacking with L0phtCrack
01:27:55 - ARP Poisoning with Cain & Able
01:34:59 - Phishing with SE Toolkit
01:40:36 - DDoS attack with H.O.I.C
01:48:02 - Session Hijacking with BetterCap
01:53:17 - Honeypotting with HoneyBOT
02:05:35 - What is Sql Injection?
02:28:42 - Creating a Trojan with njRAT
02:35:46 - Principles of Security (CIA)
04:05:42 - Memory
04:08:07 - Security Modes
04:24:38 - Cloud Computing - Shared Security
04:30:21 - Block Ciphers
04:41:21 - Hashing
06:24:42 - Firewalls
07:19:55 - Passwords
09:33:58 - Testing
10:03:19 - Programming Languages
10:47:24 - Interview Questions

----------------------------
🔵 Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry-Oriented Courseware
6. Life time free Course Upgrade

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This Edureka video on Random Forest in Machine Learning explains the concept of the Random Forest algorithm in Python and how is it used.

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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.
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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.
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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 sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free)

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This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

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#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=X1rw_iHzxtk&utm_medium=Lives&utm_source=Youtube

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This Video on Artificial Intelligence Full Course is a complete tutorial to understanding AI concepts, tools, and applications. It begins with what Artificial Intelligence is, the future of AI, and the AI engineer roadmap to help learners build their careers. You’ll explore AI careers, essential AI projects, and generative AI (Gen AI), including hands-on Gen AI projects. The course provides practical insights into how to get a job in AI and covers key topics such as machine learning (ML), AI bias, and deep learning, along with the differences between AI, ML, and DL. Advanced concepts like ML algorithms, reinforcement learning, Q-learning, and transformers in AI are also explained. You’ll learn about running Llama privately, prompt engineering, and LLM benchmarking, with an overview of multimodal AI and tools like LangChain and Cursor AI. Practical sessions include data analytics using AI, building websites with AI, creating and selling digital products using AI, and exploring tools like Notion for beginners and Gen AI tools for job interviews. Finally, topics like confusion matrix in ML, recurrent neural networks, and practical AI applications ensure you gain both theoretical knowledge and real-world skills to excel in AI.

Following are the topics covered in this AI Full Course For Beginners:

00:00:00 Introduction to Artificial Intelligence Full Course
00:08:08 What is Artificial Intelligence
00:17:14 Future of AI
00:18:34 AI Engineer Roadmap
00:33:15 AI Carrers
00:46:34 AI Projects
00:47:19 What is Gen AI
01:05:37 Gen AI Projects
01:12:43 How to get Job in AI
02:09:20 What is ML
02:15:01 AI Bias
02:20:43 Open AI Strawberry
02:27:42 Deep Learning
02:33:53 Difference between AI ML and DL
02:46:11 Machine learning algorithms
03:03:56 ML Projects for Beginners
03:05:03 Run Lama Privately
03:13:47 Introduction to LLM
03:23:34 What is Prompt Engineering
03:32:27 LLM Benchmarkeing
03:38:04 Mutimodel AI
03:57:55 CHatgpt analyse
07:15:52 Reinforcement Learning
07:16:42 Q Learning
07:39:25 Transformers in AI
07:47:01 Langchain Explained
08:18:41 Data Analytics using AI
10:22:56 Recurrent Neural Network
10:48:37 Build Website with AI
11:00:31 Create and sell digital products using AI

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

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 Job Assist helps you get noticed by top hiring companies

👉Learn more at- https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=hKVNdNAIvD4&utm_medium=Lives&utm_source=Youtube

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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. 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 also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ 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
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