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Will cover all the below-given topics required for a complete Data Science Tutorial:
0. Introduction (0:00)
1. Data Science basics (01:28)
2. What is Data Science (05:51)
3. Need for Data Science (06:38)
4. Business intelligence vs Data Science (17:30)
5. Prerequisites for Data Science (22:31)
6. What does a Data Scientist do? (30:23)
7. Demand for Data Scientist (53:03)
8. Linear regression (2:30:10)
9. Decision trees (2:53:39)
10. Logistic regression in R (3:09:12)
11. What is a decision tree? (3:27:04)
12. What is clustering? (4:35:40)
13. Divisive clustering (4:51:14)
14. Support vector machine (5:17:21)
15. K-means clustering 96:44:13)
16. Time series analysis (7:33:05)
17. How to Become a Data Scientist (8:26:54)
18. Job roles in Data Science (8:30:59)
19. Simplilearn certifications in Data Science (8:33:50)
20. Who is a Data Science engineer? (8:34:34)
21. Data Science engineer resume (9:00:04)
22. Data Science interview questions and answers (9:04:42)

🔥 Enroll for FREE Data Science Course & Get your Completion Certificate: https://www.simplilearn.com/getting-started-data-science-with-python-skillup?utm_campaign=Skillup-DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube

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Download Datasets: https://drive.google.com/drive..../folders/1oa_hIIb4dn

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➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

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🔵 Following topics are covered in this session:
00:00:00 - Introduction to Agile Project Management
00:00:49 - What is SDLC
00:01:26 - Tenets of an Agile Approach
00:02:26 - Key Components
00:05:11 - Methods
00:07:35 - Who are the Users
00:08:44 - Benefits
00:10:19 - Models
00:19:28 - Why Agile
00:26:58 - Difference between Traditional vs Agile
00:40:55 - Agile Values
01:37:00 - Agile Roles
02:24:09 - What is Scrum
02:24:19 - Scrum Ceremonies
02:30:50 - Agile Planning Process
02:56:29 - Jira
03:26:33 - What is Product Backlog

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🔵 Why Agile is important

Agile Methodology is a development method in which requirements and solutions evolve in cross-functional teams through a collaborative effort. Its approach aligns project and product development with the requirements of the customer and overall company goals. It is a methodology based on iterative development. This process encourages frequent inspection and adaptation which helps in the rapid delivery of high-quality software. Agile methodology is developed for products and projects that require flexibility and speed- which actually means, almost every product and project is being managed today.

------------------------------
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🔥 Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executi....ve-programs/machine-
This Edureka video is a part of the Machine Learning Tutorial that will provide you with a list of the Top Machine Learning tools and Frameworks that one must know about. Machine Learning Tools help us in developing algorithmic applications of artificial intelligence which can enable the ability to learn and improve machine processing without much human input. Below is the list of Best Machine Learning Tools and Frameworks covered in this Machine Learning tutorial:
00:00 Introduction
01:01 Machine Learning Tutorial
01:24 Top Machine Learning Tools
01:29 Scikit Learn
02:16 Knime
03:08 Tensorflow
04:14 Weka
05:02 PyTorch
05:47 Rapidminer
06:43 Google's AutoML
07:41 Azure ML Studio
08:21 Accord.NET
09:28 Google Collab
10:24 NLTK

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🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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------------------------------
About the ML Master's Program

Edureka’s Machine Learning 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.

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

Why Learn Machine Learning?

Machine Learning is a concept which allows the machine to learn from examples and experience, and that too without being explicitly programmed. So instead of you writing the code, what you do is you feed data to the generic algorithm, and the algorithm/machine builds the logic based on the given data.
-------------------------------------

Edureka's Machine Learning Masters Program Curriculum

🟠 Live Courses 🟠
Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
Machine Learning Certification Training using Python: https://www.edureka.co/machine....-learning-certificat
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Reinforcement Learning: https://www.edureka.co/reinfor....cement-learning-cour
Natural Language Processing with Python Certification: https://www.edureka.co/python-....natural-language-pro
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🟠 Elective Course 🟠
Python Scripting Certification Training: https://www.edureka.co/python-scripting

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

Prerequisites

There are no prerequisites for enrollment 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.

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

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

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This K Means clustering algorithm tutorial video will take you through machine learning basics, types of clustering algorithms, what is K Means clustering, how does K Means clustering work with examples along with a demo in python on K-Means clustering - color compression. This Machine Learning algorithm tutorial video is ideal for beginners to learn how K Means clustering work.

Below topics are covered in this K-Means Clustering Algorithm Tutorial:
1. Types of Machine Learning? ( 07:08 )
2. What is K Means Clustering? ( 00:10 )
3. Applications of K Means Clustering ( 09:27 )
4. Common distance measure ( 10:20 )
5. How does K Means Clustering work? ( 12:27 )
6. K Means Clustering Algorithm ( 20:08 )
7. Demo In Python: K Means Clustering ( 26:20 )
8. Use case: Color compression In Python ( 38:38 )

Dataset Link - https://drive.google.com/drive..../folders/1RdPdB3Fkqo

What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

For a more detailed understanding on K Means Clustering Algorithm, do visit: https://bit.ly/2CbZAUg
You will find in-depth content on the Machine Learning. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

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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
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- 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

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👉 Learn More At:



🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Prepare for a job interview about deep learning. This course covers 50 common interview questions related to deep learning and gives detailed explanations.

✏️ Course created by Tatev Karen Aslanyan.

✏️ Expanded course with 100 questions: https://academy.lunartech.ai/p....roduct/deep-learning

⭐️ Contents ⭐️
⌨️ 0:00:00 Introduction
⌨️ 0:08:20 Question 1: What is Deep Learning?
⌨️ 0:11:45 Question 2: How does Deep Learning differ from traditional Machine Learning?
⌨️ 0:15:25 Question 3: What is a Neural Network?
⌨️ 0:21:40 Question 4: Explain the concept of a neuron in Deep Learning
⌨️ 0:24:35 Question 5: Explain architecture of Neural Networks in simple way
⌨️ 0:31:45 Question 6: What is an activation function in a Neural Network?
⌨️ 0:35:00 Question 7: Name few popular activation functions and describe them
⌨️ 0:47:40 Question 8: What happens if you do not use any activation functions in a neural network?
⌨️ 0:48:20 Question 9: Describe how training of basic Neural Networks works
⌨️ 0:53:45 Question 10: What is Gradient Descent?
⌨️ 1:03:50 Question 11: What is the function of an optimizer in Deep Learning?
⌨️ 1:09:25 Question 12: What is backpropagation, and why is it important in Deep Learning?
⌨️ 1:17:25 Question 13: How is backpropagation different from gradient descent?
⌨️ 1:19:55 Question 14: Describe what Vanishing Gradient Problem is and it’s impact on NN
⌨️ 1:25:55 Question 15: Describe what Exploding Gradients Problem is and it’s impact on NN
⌨️ 1:33:55 Question 16: There is a neuron in the hidden layer that always results in an error. What could be the reason?
⌨️ 1:37:50 Question 17: What do you understand by a computational graph?
⌨️ 1:43:28 Question 18: What is Loss Function and what are various Loss functions used in Deep Learning?
⌨️ 1:47:15 Question 19: What is Cross Entropy loss function and how is it called in industry?
⌨️ 1:50:18 Question 20: Why is Cross-entropy preferred as the cost function for multi-class classification problems?
⌨️ 1:53:10 Question 21: What is SGD and why it’s used in training Neural Networks?
⌨️ 1:58:24 Question 22: Why does stochastic gradient descent oscillate towards local minima?
⌨️ 2:03:38 Question 23: How is GD different from SGD?
⌨️ 2:08:19 Question 24: How can optimization methods like gradient descent be improved? What is the role of the momentum term?
⌨️ 2:14:22 Question 25: Compare batch gradient descent, minibatch gradient descent, and stochastic gradient descent.
⌨️ 2:19:12 Question 26: How to decide batch size in deep learning (considering both too small and too large sizes)?
⌨️ 2:26:01 Question 27: Batch Size vs Model Performance: How does the batch size impact the performance of a deep learning model?
⌨️ 2:29:33 Question 28: What is Hessian, and how can it be used for faster training? What are its disadvantages?
⌨️ 2:34:12 Question 29: What is RMSProp and how does it work?
⌨️ 2:38:43 Question 30: Discuss the concept of an adaptive learning rate. Describe adaptive learning methods
⌨️ 2:43:34 Question 31: What is Adam and why is it used most of the time in NNs?
⌨️ 2:49:59 Question 32: What is AdamW and why it’s preferred over Adam?
⌨️ 2:54:50 Question 33: What is Batch Normalization and why it’s used in NN?
⌨️ 3:03:19 Question 34: What is Layer Normalization, and why it’s used in NN?
⌨️ 3:06:20 Question 35: What are Residual Connections and their function in NN?
⌨️ 3:15:05 Question 36: What is Gradient clipping and their impact on NN?
⌨️ 3:18:09 Question 37: What is Xavier Initialization and why it’s used in NN?
⌨️ 3:22:13 Question 38: What are different ways to solve Vanishing gradients?
⌨️ 3:25:25 Question 39: What are ways to solve Exploding Gradients?
⌨️ 3:26:42 Question 40: What happens if the Neural Network is suffering from Overfitting relate to large weights?
⌨️ 3:29:18 Question 41: What is Dropout and how does it work?
⌨️ 3:33:59 Question 42: How does Dropout prevent overfitting in NN?
⌨️ 3:35:06 Question 43: Is Dropout like Random Forest?
⌨️ 3:39:21 Question 44: What is the impact of Drop Out on the training vs testing?
⌨️ 3:41:20 Question 45: What are L2/L1 Regularizations and how do they prevent overfitting in NN?
⌨️ 3:44:39 Question 46: What is the difference between L1 and L2 regularisations in NN?
⌨️ 3:48:43 Question 47: How do L1 vs L2 Regularization impact the Weights in a NN?
⌨️ 3:51:56 Question 48: What is the curse of dimensionality in ML or AI?
⌨️ 3:53:04 Question 49: How deep learning models tackle the curse of dimensionality?
⌨️ 3:56:47 Question 50: What are Generative Models, give examples?

Official audio for I Want To Wake Up by Pet Shop Boys taken from their 1987 album, 'Actually'.

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[Chorus]
Hit music on the radio
Hit music on the radio

[Verse 1]
When you dance with me we dance forever
All night long to your favourite

[Chorus]
Hit music on the radio
Hit music on the radio

[Verse 2]
When you dance with me we dance forever
All night long to the latest song
Live a lie, dance together
All night long to your favourite

[Chorus]
Hit music
Hit music

[Bridge]
I've been working hard all day
To pay the bills I have to pay
Don't have the strength to work all night
Or fight until it's almost light

[Chorus]
Music on the radio
D-dance music at the disco

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Live a lie, dance together
All night long to your favourite song
Live and die, it's all that we know
I need a friend at the journey's end

[Chorus]
Hit music in stereo

[Interlude]

[Verse 4]
It's all about love and it's about forgetting
Choose a song when the night's too long
We all need love and we want protection
I need a friend at the journey's end
In Kensington or Spanish Harlem
All night long to your desperate

[Chorus]
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Music at the disco

[Chorus]
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Learn how to build AI agents from scratch in this beginner-friendly tutorial!

Jan breaks down the complex world of AI agents into simple, understandable components and shows you how to create a fun "Santa's Helper" agent that researches toys and sends wish lists - all without writing a single line of code.

What you'll learn:
▶︎ Understanding AI agent components and architecture
▶︎ Setting up large language models (LLMs)
▶︎ Implementing agent memory systems
▶︎ Writing effective agent system prompts
▶︎ Connecting research and web search tools
▶︎ Automating email communications
▶︎ Testing and debugging agents
▶︎ Real-world business applications

⏰ TIMESTAMPS
00:00 What are AI agents and how do they work
00:30 AI agent components and architecture explained
02:31 Understanding agent tools and capabilities
05:19 Building your first agent in n8n
06:30 Connecting language models to your agent
07:37 Why memory is crucial for AI agents
09:35 Creating effective system prompts for agents
12:08 Adding web search capabilities to agents
14:38 Setting up email automation tools
15:26 Testing and debugging your AI agent
18:22 Business use cases and advanced applications

📚 RESOURCES MENTIONED
https://www.youtube.com/watch?v=SzPE_AE0eEo
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♪ Google Play Music: https://bit.ly/2W9gfvW
♪ Amazon Prime Music: https://amzn.to/2PmWuz1
♪ Apple Music: https://apple.co/2Qztogt
♪ Resso Music: https://m.resso.app/SEjruH/
♪ Spotify Music: https://spoti.fi/3tJJxle
♪ Jukebox: https://bit.ly/2QCXM9D
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♪ Film Name: SHIVAJINAGARA
♪ Starcast: DUNIYA VIJAY, PARUL YADAV, AVINASH, ASHISH
VIDHYARTHI
♪ Lyricist: P.N.SATHYAA (1, 2, 4 & 5), A.P.ARJUN (3)
♪ Music: JESSIE GIFT
♪ Director: P.N.SATHYAA
♪ Producer: RAMU
♪ Banner: RAMU FILMS
♪ Record Label: AANANDA AUDIO VIDEO
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01.Song: Kariya Kariya/Singer: Jessie Gift, Chaithra.H.G
02.Song: Aase Aase/Singer: Suchith Sureshan, Sangeetha Sachith
03.Song: Rangeela Rangeela/Singer: Apoorva Shridhar
04.Song: Dheera Nanna/Singer: Anand, Anuradha Bhat
05.Song: Mandya Benne Kane/Singer: Priya Himesh
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Operator Codes
1) To set "Kariya Kariya" as your dialler tune!!!
AirTel Users Dial 5432114014360
Vodafone Users Dial 5374923897
Idea Users Dial 5374923897
BSNL Users SMS BT 4923897 to 56700
Operator Codes
2) To set "Aase Aase" as your dialler tune!!!
AirTel Users Dial 5432114014356
Vodafone Users Dial 5374923893
Idea Users Dial 5374923893
BSNL Users SMS BT 4923893 to 56700
Operator Codes
3) To set "Rangeela Rangeela" as your dialler tune!!!
AirTel Users Dial 5432114014364
Vodafone Users Dial 5374923901
Idea Users Dial 5374923901
BSNL Users SMS BT 4923901 to 56700
Operator Codes
4) To set "Dheera Nanna" as your dialler tune!!!
AirTel Users Dial 5432114014358
Vodafone Users Dial 5374923895
Idea Users Dial 5374923895
BSNL Users SMS BT 4923895 to 56700
Operator Codes
5) To set "Mandya Benne Kane" as your dialler tune!!!
AirTel Users Dial 5432114014362
Vodafone Users Dial 5374923899
Idea Users Dial 5374923899
BSNL Users SMS BT 4923899 to 56700
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VISIT OUR OTHER CHANNELS:-
►Anand Audio Official YouTube Channel: http://goo.gl/JtObUW
►Anand Audio Popular: https://goo.gl/dLSjmK
►Anand Audio Kannada Comedy: https://goo.gl/UFXUhq
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►Anand Audio NaaduNudi: https://goo.gl/UCLZLj
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►Anand Audio Tulu: https://goo.gl/v4cgYq
►Anand Audio Entertainment: https://goo.gl/G2yx6X
►Anand Audio Tamil: https://bit.ly/2NYSRyN
►Anand Audio Telugu: https://bit.ly/2SVGx3b
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