Channel: DataSpoof
This week we are going to upload the video playlist on how to building Agentic Ai Projects on our YouTube channel.
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https://youtube.com/@dataspoof1977?si=6CdAg1x6mvPxqG6-
DO SUBSCRIBE TO OUR YOUTUBE CHANNEL
https://youtube.com/@dataspoof1977?si=6CdAg1x6mvPxqG6-
YouTube
DataSpoof
Hello world, it's Abhishek! I am a Data Scientist | Corporate Trainer on a mission to teach Artificial intelligence to all my students. Topics including AI, Mathematics, Science, Technology, I simplify these topics to help you understand how they work. Using…
Agentic AI #1
How to Create a flight agents
Do watch it, like and subscribe to our YouTube channel. More videos are coming
https://youtu.be/ivt5q_pIeE4?si=7P1Z-9LHlQKlhttO
How to Create a flight agents
Do watch it, like and subscribe to our YouTube channel. More videos are coming
https://youtu.be/ivt5q_pIeE4?si=7P1Z-9LHlQKlhttO
YouTube
How to create a Flight Agent using Phidata framework
This is the first video of agentic AI video series. In this video you will learn about how to create an AI flight Agent using Phidata Framework.
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Join our telegram channel for study materials
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Forwarded from Placement preparation material
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Final video reel - Made with Clipchamp.mp4
Agentic AI #2
How to create an AI agent using CrewAI
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https://youtu.be/ikDJ56k0Y9U?si=UyUkuMXOTC8kPC0l
How to create an AI agent using CrewAI
Do watch it, like and subscribe to our YouTube channel. More videos are coming
https://youtu.be/ikDJ56k0Y9U?si=UyUkuMXOTC8kPC0l
YouTube
Learn how to create an AI Agent using CrewAI
In this video you will be learning about how to create an AI agent using CREWAI in a very simple manner.
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Connect with me On LinkedIn
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Follow us on Instagram
www.instagram.com/dataspoof
Join our telegram channel for study materials
hottg.com/dataspoof
Connect with me On LinkedIn
https:…
Feedback received for the Generative AI training from the students from University of texas
Dm us on whatsapp for real time training +9183182 38637
Dm us on whatsapp for real time training +9183182 38637
How to create an End to End LLM application in aws
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https://youtu.be/-3Pk8KFPsB4?si=7l4An6RZGBZDowH5
Do watch it, like and subscribe to our YouTube channel
https://youtu.be/-3Pk8KFPsB4?si=7l4An6RZGBZDowH5
YouTube
End to End LLM Application using AWS Services
In this video we will learn about how to create an End to End LLM application using AWS Services like lambda, S3, cloudwatch, IAM and BedRock.
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Join our telegram channel for study materials
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AutomatedCleaning is a Python library for automated data cleaning. It helps preprocess and analyze datasets by handling missing values, outliers, spelling corrections, and more
Features
Supports both large (100+ GB) and small datasets
Detects and handles missing values and duplicate records
Identifies and corrects spelling errors in categorical values
Detect outliers
Detects and fixes data imbalance
Identifies and corrects skewness in numerical data
Checks for correlation and detects multicollinearity
Analyzes cardinality in categorical columns
Identifies and cleans text columns
Detect JSON-type columns
Performs univariate, bivariate, and multivariate analysis
https://lnkd.in/gmaStAsp
Features
Supports both large (100+ GB) and small datasets
Detects and handles missing values and duplicate records
Identifies and corrects spelling errors in categorical values
Detect outliers
Detects and fixes data imbalance
Identifies and corrects skewness in numerical data
Checks for correlation and detects multicollinearity
Analyzes cardinality in categorical columns
Identifies and cleans text columns
Detect JSON-type columns
Performs univariate, bivariate, and multivariate analysis
https://lnkd.in/gmaStAsp
Let's learn about Model Interpretability
Interpretability is essential for:
Model debugging - Why did my model make this mistake?
Feature Engineering - How can I improve my model
Detecting fairness issues - Does my model discriminate?
Human-AI cooperation - How can I understand and trust the model's decisions?
Regulatory compliance - Does my model satisfy legal requirements?
High-risk applications - Healthcare, finance, judicial,
Interpretability is essential for:
Model debugging - Why did my model make this mistake?
Feature Engineering - How can I improve my model
Detecting fairness issues - Does my model discriminate?
Human-AI cooperation - How can I understand and trust the model's decisions?
Regulatory compliance - Does my model satisfy legal requirements?
High-risk applications - Healthcare, finance, judicial,
Master Python programming in 30 days
https://www.udemy.com/course/master-python-programming-in-30-days-2025/?couponCode=7E26C0F137E5723E1E63
https://www.udemy.com/course/master-python-programming-in-30-days-2025/?couponCode=7E26C0F137E5723E1E63
Udemy
Master Python Programming in 30 days (2025)
Master Python by building real time projects. Learn data science, automation, build API, websites and databases.
Llama 4 is out beating the deepseekv3 model check out the more details
https://www.linkedin.com/posts/abhishek-kumar-singh-8a6326148_datascience-machinelearning-ai-activity-7314452968391561217-gGOa?utm_source=share&utm_medium=member_android&rcm=ACoAACOks34BFSi927IWily_2kgESJV38GQlIWQ
https://www.linkedin.com/posts/abhishek-kumar-singh-8a6326148_datascience-machinelearning-ai-activity-7314452968391561217-gGOa?utm_source=share&utm_medium=member_android&rcm=ACoAACOks34BFSi927IWily_2kgESJV38GQlIWQ
Linkedin
Llama 4 is out beating the deepseek v3 model | Abhishek Kumar Singh
Llama 4 is out beating the deepseek v3 model
Follow Abhishek Kumar Singh to learn Python programming, data Science and big data.
#datascience #machinelearning #ai #Python #python3 #sql #deeplearning
#computervision #computerscience #programming #bigdata…
Follow Abhishek Kumar Singh to learn Python programming, data Science and big data.
#datascience #machinelearning #ai #Python #python3 #sql #deeplearning
#computervision #computerscience #programming #bigdata…
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