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    • Part-2 Building a Synthetic Tabular Data Generator With GPT-4 and Python
    • Part 3: Automating GPT-Based Synthetic Data Generation for Real World Modeling
    • Part 4: Benchmarking Synthetic Data – How Close Is “Close Enough”?
    • Part 5: Multi-Modal Synthetic Data Generation with GPT-4, DALL E & Prompt Chaining
    • Part 6: Productionizing Synthetic Data Pipelines with MLOps Best Practices
    • Part 7: Combining Real + Synthetic Data -What Works, What Breaks, and Why
    • Part 8: Closing the Loop – Using Feedback to Improve Synthetic Data Generation
    • Part 9: Measuring What Matters -Evaluating Feedback-Tuned Synthetic Data
    • Part 10: Model-Specific Synthetic Data Tuning – LLMs, Vision, and Tabular ML
    • Wrap-Up: Generative AI in Data Science Series Recap & Practical Cheat Sheet
    • 11 MLOps Tools for Machine Learning Engineers to Know
    • 100 AI Interview Questions and Answers: A Easy Guide
    • What is Retrieval Augmented Generation(RAG)? A simple Guide
    • How to Deploy an AI Application?
    • Introduction to Generative AI and LLM Models
    • Building Robust Generative AI Systems: Architecture and Design Patterns
    • A Comprehensive Guide to Apache Airflow with Python Code Examples
    • Mastering MLflow: How to Track, Reproduce, and Deploy ML Models
    • GitHub Codespaces: Transform Cloud-Based Development
    • Mastering Git, GitHub, GitHub Actions, and GitHub Codespaces with Python Examples
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    • 10 startup Ideas Using AI and How to Build Them
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    • Preparation Strategy for a Data Analyst Interview
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    • What Is Artificial Intelligence(AI)?
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      • What is Negative Sampling in RAG?
      • Trade offs between Sparse and Dense Retrievers
      • What is DPR, and how is it used in RAG?
    • How to Integrate a RAG System with a Live Database
    • How RAG Can Transform Businesses?
    • What are SmolAgents?: A Easy Guide With Code Examples
    • How to Become a Data Analyst in 2025 : A Q&A Guide for Beginners
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    • New Horizon Generative AI : Revolutionizing Technology and Creativity
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    • The Impact of Big Data Analytics
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    • Data Cleaning in Pandas: A step by step Guide
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    • Python Variables: A Easy Guide for Beginners
    • Data Types in Python: A Easy Guide for Beginner’s
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    • Programming Model of Python: How Python Works
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    • Find Even or Odd Numbers in python
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    • Hypothesis Testing in Data Science and Machine Learning
    • Data Analysis and Hypothesis Testing Using a Banking Dataset
    • Understanding the Confusion Matrix in Machine Learning with Real-Life Examples
    • Understanding Sampling Distribution: A Financial and analytical Perspective
    • Top 15 Statistics Interview Questions with Answers for Data Science
    • Data And Sampling Distributions: An Ultimate Guide
    • Descriptive Statistics and Inferential Statistics
      • Machine Learning Model for Real Estate Price Prediction
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    • Real-Estate price prediction ML model to a working web application
    • Machine Learning Model for Real Estate Price Prediction
    • Credit Card Fraud Detection using ML: Easy Guide
    • Understanding Linear Regression Through the Lens of House Price Prediction
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    • Engineering students must know these technologies about MLOps
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    • 5 points to become a data analyst job ready.
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Analytics Siksha
  • Home
  • Trending Technoloy
    • C
      • Introduction to C language for beginners
      • Variables in C: Simple Explanation With Code Examples
    • The Ultimate Guide to AI Interview Prep Tools: Ace Your Next Job Interview in 2025
    • How to Use AI for Academic Research: A Comprehensive Guide
    • AI for Real Estate Lead Generation: Revolutionizing How Agents Close Deals in 2025
    • Top Analytics Courses in India 2025
    • How to Make Money with AI in 2025: 7 Proven Ideas + 30-Day Quick-Start Plan
    • How to Use AI for Email Marketing in 2025: Boost Your Campaigns with Cutting-Edge Tools
    • The Best AI and Analytics Courses to Land a Job in the U.S. in 2025-2026
    • Why Data Analytics Tools Matter in 2025: A Guide for U.S. Professionals
    • Best AI Writing Tools for Students in 2025
    • Generative AI in Data Science: Easy Guide With Python Examples
    • Part-2 Building a Synthetic Tabular Data Generator With GPT-4 and Python
    • Part 3: Automating GPT-Based Synthetic Data Generation for Real World Modeling
    • Part 4: Benchmarking Synthetic Data – How Close Is “Close Enough”?
    • Part 5: Multi-Modal Synthetic Data Generation with GPT-4, DALL E & Prompt Chaining
    • Part 6: Productionizing Synthetic Data Pipelines with MLOps Best Practices
    • Part 7: Combining Real + Synthetic Data -What Works, What Breaks, and Why
    • Part 8: Closing the Loop – Using Feedback to Improve Synthetic Data Generation
    • Part 9: Measuring What Matters -Evaluating Feedback-Tuned Synthetic Data
    • Part 10: Model-Specific Synthetic Data Tuning – LLMs, Vision, and Tabular ML
    • Wrap-Up: Generative AI in Data Science Series Recap & Practical Cheat Sheet
    • 11 MLOps Tools for Machine Learning Engineers to Know
    • 100 AI Interview Questions and Answers: A Easy Guide
    • What is Retrieval Augmented Generation(RAG)? A simple Guide
    • How to Deploy an AI Application?
    • Introduction to Generative AI and LLM Models
    • Building Robust Generative AI Systems: Architecture and Design Patterns
    • A Comprehensive Guide to Apache Airflow with Python Code Examples
    • Mastering MLflow: How to Track, Reproduce, and Deploy ML Models
    • GitHub Codespaces: Transform Cloud-Based Development
    • Mastering Git, GitHub, GitHub Actions, and GitHub Codespaces with Python Examples
    • Git Made Simple: The Only Guide You Need
    • What Is Data Version Control (DVC) and Why It Matters in Machine Learning
    • The Life Cycle of a Data Science Project: Complete Guide
    • Data Science Projects for Beginners in 2025: Practical Ideas with Real KPIs
    • Why India Must Bet Big on Deep Technology: A Wake Up Call from Piyush Goyal
    • 10 Side Hustles for Working Professionals to Earn in Dollars
    • 10 startup Ideas Using AI and How to Build Them
    • 10 Best Free AI Tools for Students in 2025
    • Top 5 AI Tools To Accelerate Job Hunts
    • How to Learn Future – Proof Top Data Skills
    • Preparation Strategy for a Data Analyst Interview
    • Artificial General Intelligence: The Future of Thinking Machines
    • Recent Research in Artificial Intelligence and the Future of AI
    • What Is Artificial Intelligence(AI)?
    • DeepSeek: A Powerful Open Source Model
    • Data Scientist Roadmap in 2025: A Complete Guide
    • 20+ Generative AI Interview Questions and Answers
    • Revolutionizing Customer Experience with AI Agents: A New Era of Engagement
    • RAG
      • Retrieval-Augmented Generation (RAG) in AI: A Simple Guide for Everyone
      • 50+ RAG-Based Most Asked Interview Questions and Answers
      • How Does RAG Differ from Traditional Question-Answering Systems?
      • What is Negative Sampling in RAG?
      • Trade offs between Sparse and Dense Retrievers
      • What is DPR, and how is it used in RAG?
    • How to Integrate a RAG System with a Live Database
    • How RAG Can Transform Businesses?
    • What are SmolAgents?: A Easy Guide With Code Examples
    • How to Become a Data Analyst in 2025 : A Q&A Guide for Beginners
    • The Future of Sora Video Generation: A New Era for Creativity and Communication
    • Exploring Agentic AI: The Next Frontier in Artificial Intelligence
    • New Horizon Generative AI : Revolutionizing Technology and Creativity
    • Blockchain Technology New Mechanism to Data Decentralization
    • Types of Blockchain Technology and There Advantages
    • What is Hacking? Different types of hacking: How can security be improved against hacking of any kind?
    • Exploring Artificial Intelligence Trends in 2024-30
    • Cyber Ethics and Unethical Practices
    • Artificial Intelligence in the Education Sector
    • Artificial Intelligence in Financial Management
    • The Impact of Big Data Analytics
  • Python
    • Data Cleaning in Pandas: A step by step Guide
    • Different Joins in Pandas: A Comprehensive Guidewith Real – Life Examples
    • Pandas: The Essential Python Library for Data Analysis
    • Introduction to Python: A Beginner’s Guide to the Most Popular Programming Language
    • Python Variables: A Easy Guide for Beginners
    • Data Types in Python: A Easy Guide for Beginner’s
    • Operators in python: A Easy Guide for Beginner’s
    • Control Statements in Python: A Easy Guide With Examples
    • Python User Defined Functions With Code Examples
    • Understanding if, if-else, and if-elif-else Statements in Python (With Examples)
    • What is Python?
    • Programming Model of Python: How Python Works
    • OOPs Concepts in Python
    • Inheritance in Python with Real Life Code Examples: Easy Guide
    • Python Objects and Classes
    • Find Even or Odd Numbers in python
  • Statistics
    • Hypothesis Testing in Data Science and Machine Learning
    • Data Analysis and Hypothesis Testing Using a Banking Dataset
    • Understanding the Confusion Matrix in Machine Learning with Real-Life Examples
    • Understanding Sampling Distribution: A Financial and analytical Perspective
    • Top 15 Statistics Interview Questions with Answers for Data Science
    • Data And Sampling Distributions: An Ultimate Guide
    • Descriptive Statistics and Inferential Statistics
      • Machine Learning Model for Real Estate Price Prediction
  • Machine Learning
    • Recurrent Neural Networks (RNNs / LSTMs) for Text Classification – A Beginner’s Guide
    • Building a Spam Filter with Machine Learning
    • Real-Estate price prediction ML model to a working web application
    • Machine Learning Model for Real Estate Price Prediction
    • Credit Card Fraud Detection using ML: Easy Guide
    • Understanding Linear Regression Through the Lens of House Price Prediction
    • House Price Prediction: Linear Regresion
    • Linear Regression in Machine Learning: A Comprehensive Guide
    • A Beginner’s Guide to Natural Language Processing (NLP)
    • Machine Learning Techniques for Beginners
  • Stories
    • What is Agentic AI?
    • What is MLOps?
    • Engineering students must know these technologies about MLOps
    • What are the tools for developing MLOps model?
    • What is descriptive statistics?
    • What is Inferential Statistics?
    • Artificial Intelligence(AI) career Learning Resources
    • As a beginner, Steps you can follow to become a machine learning engineer
    • 5 points to become a data analyst job ready.
    • 5 things to learn from virat kohli to get success even in tougher situation
    • SearchGPT a new weapon in the armour of AI
    • 5 habits to get success in Artificial Inteligence(AI) job search
    • Build Artificial Intelligence Skills (AI)
    • 7 Artificial Intelligence jobs and Salary expectation
    • are you learning demanding data science tools?
    • 7 Research Jobs in AI
  • Homework
    • Chapter 4: MS Excel Data Operations
    • Chapter 3-MS PowerPoint: Slide Transition & Animation
    • class 8
      • Top 18 AI and Data Science Questions and Answer
      • HTML Forms- How to create HTML Forms with codes
      • Lists and Tuples in Python
  • Inshorts
    • What is Annotation?
  • About
  • Privacy & Policy
  • Contact
  • Careers

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