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Nikhil

InfoGerm • 11m

As of our first step we are offering to build websites for startups, founders, portfolio page, etc for an amount of ₹1000 from scratch. Those who are interested contact me or drop an email at snikhil6295@gmail.com describing about your company the s

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Ujwala Uppalapati

Tech Enthusiast • 4m

🚀 Free AI Tools for Tech Enthusiasts 🚀 If you're looking to leverage AI for your projects, here are some free tools you can start using right away: ChatGPT Usage: Natural language processing, chatbots, content generation Link: chat.openai.com

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Harish Kumar

Training Consoler • 7m

Python is a beginner-friendly and powerful programming language, perfect for diving into data science. Start by learning the basics like variables, loops, and functions. Explore popular libraries such as Pandas for data manipulation, NumPy for nume

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Pratik Raundale

Cloud Devops Enginee... • 6d

This Week's Learning Journey Kubernetes, AWS & ELK Stack The focus was on container orchestration, deployment strategies, configuration management, and monitoring. #Kubernetes & Deployment Explored Kubernetes architecture including Pods, Services,

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Manish kumar Mahto

HR recruiter freelan... • 4m

As a data science teacher at a tech institute, a business partner can help enhance your teaching, provide opportunities for your students, and support the growth of your institute. Here are some potential business partners: *Industry Partners* 1. *D

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sudheer kumar

Sudheer kumar • 4m

🚀 Introducing CleanXo – The Future of Automated Data Cleaning! 🚀 We all know the frustration of messy, inconsistent data slowing down analysis. What if you could clean and prepare your data in under 10 minutes—without manual effort? That’s exactly

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Koushik Kumar

Billionaire • 1m

🚨 BREAKING: 16 Billion Passwords Leaked in Historic Data Breach 🚨 In what’s being called the largest data breach to date, over 16 billion passwords and credentials from global tech giants—including Apple, Google, and Facebook—have been exposed. Th

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Comet

#freelancer • 1m

What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learn

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