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Showing posts older than #1085 · Back to latest

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Post #1082 3.71K
Complete text data preprocessing in python .

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https://youtu.be/z_MuPMRejJE?si=WteUoVt6Bl9C8c2e
YouTube Complete Text Data Preprocessing in Python In this video we will be going to perform text data preprocessing in python which will transform our unstructured text into meaningful, structured data. Follow us on Instagram www.instagram.com/dataspoof Join our telegram channel for study materials t.me/dataspoof…
Post #1081
DataSpoof pinned «Master Python programming in 30 days https://www.udemy.com/course/master-python-programming-in-30-days-2025/?couponCode=7E26C0F137E5723E1E63»
Post #1078 5.03K
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
LinkedIn #datascience #machinelearning #ai #python #python3 #sql #deeplearning #computervision #computerscience #programming #bigdata #architecture… 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…
Post #1076 4.08K
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,
Post #1071 4.25K
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
Post #1070 3.87K
How to create an End to End LLM application in aws

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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. Follow us on Instagram www.instagram.com/dataspoof Join our telegram channel for study materials t.me/dataspoof…
Post #1067 4.87K
Feedback received for the Generative AI training from the students from University of texas

Dm us on whatsapp for real time training +9183182 38637
Post #1066 4.76K
Agentic AI #2
How to create an AI agent using CrewAI

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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. Follow us on Instagram www.instagram.com/dataspoof Join our telegram channel for study materials t.me/dataspoof Connect with me On LinkedIn https:…
Post #1063 4.38K
Agentic AI #1

How to Create a flight agents

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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. Follow us on Instagram www.instagram.com/dataspoof Join our telegram channel for study materials t.me/dataspoof…
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