Welcome Aboard!

Embark on a visual journey through the Sphere. Each node represents a key module, and clicking on it will guide you to a dedicated page full of insights and learning resources.

 

🌟 Data Science Universe: A Complete Learning Path

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🔰 Beginner’s Portal: Start Your Journey

1️⃣ Foundational Knowledge

Build a strong base before diving deeper.

• 📊 Core Skills
  • Mathematics
  • Probability
  • Statistics
  • Probability & Statistics Applications

👉 Explore More Foundational Concepts

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2️⃣ Core Tools for Data Enthusiasts

Learn the must-know tools for hands-on projects.

• 🖥️ Languages

  • Python
  • SQL

• ⚙️ Version Control & Containers

  • Git
  • Docker

• 🛠️ Advanced Tools

  • DBT (Data Build Tool)

👉 Discover All Tools

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3️⃣ Cracking Machine Learning Basics

Understand the building blocks of ML.

• Linear Regression
• Logistic Regression
• Random Forest
• A Guided Tour Through Classical ML Algorithms

👉 Deep Dive into Machine Learning

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🚀 Advanced Concepts: Dive Deeper

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4️⃣ Deep Learning: Unlock Complex Models

Step into the world of neural networks and deep architectures.

• 🌱 For Starters

  • A Guided Tour Through Deep Learning Algorithms

• 🌿 Beyond Basics

  • Deep Learning Theory
  • Graph Neural Network
  • Flow Based Models

👉 Explore Deep Learning

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5️⃣ Natural Language Processing (NLP)

Understand how machines process human language.

• 📝 Foundations

  • NLP Fundamentals
  • Regular Expressions & Feature Extraction

• 🛠️ Techniques & Applications

  • Cracking the Foundation of Text Processing
  • Different Word Embedding Techniques
  • Topic Modeling in NLP

• 🌌 Advanced Topics

  • Semi-Supervised and Weakly-Supervised Approaches
  • Feature Selection in NLP & LLM

👉 Learn NLP

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6️⃣ Large Language Models (LLMs)

Master the world of transformers, fine-tuning, and generative AI.

• 🌟 For Beginners

  • The Evolution of Language Modeling
  • Transformers

• 🚀 Intermediate Topics

  • Retrieval Augmented Generation (RAG)
  • Complete Guide to Retriever in RAG

• 🧠 Advanced Techniques

  • Fine-Tuning Large Language Models
  • Parameter-Efficient Fine-Tuning
  • Feedback Mechanisms in LLMs
  • Cache-Augmented Generation (CAG)

👉 Master LLMs

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⚙️ MLOps & Deployment

7️⃣ Scaling ML Systems

• 🔧 Foundations

  • Understanding Version Control Systems

• ⚡ Intermediate Topics

  • Best Practices in MLOps
  • Deployment of AI Applications in AWS

• 🚀 End-to-End Automation

  • End-to-End Automation of NLP Pipeline
  • Different Deployment Strategies for ML Models

👉 Dive into MLOps

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🛡️ Evaluations & Validations

8️⃣ Perfecting ML Models

• 📊 Model Evaluations
  • ML Model Evaluations & Validations
  • DL Model Evaluations & Validations
  • NLP Model Evaluations & Validations

👉 Master Validations

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🌐 Quick Access to All Links

• Foundational Skills
• Machine Learning
• Deep Learning
• Natural Language Processing
• Large Language Models
• Evaluations & Validations
• Tools
• MLOps