AI Series: AI the Easy Way ✨

Curated content for learning AI from scratch

Welcome to AI Series: AI the Easy Way! This series is designed to take you from absolute beginner to an AI enthusiast. Whether you're a tech enthusiast, a student, or just curious about AI, there's something here for everyone. Join me as we explore the fascinating world of artificial intelligence together. 😊

Topics

🤖 Introduction to AI

• Introduction to AI

Get a solid foundation in AI and understand its significance in today's world.

📚 Machine Learning Basics

• Introduction to Machine Learning: Key concepts and terminology
• Types of Machine Learning: Supervised, unsupervised, and reinforcement learning
• Hands-on on all ML types

Learn the core concepts and types of machine learning, and get hands-on experience with practical examples. 🧠

🛠️ Tools and Platforms

• Jupyter Notebooks
• Kaggle
• Python Libraries: SKLearn, Pandas, Matplotlib, Seaborn, etc.
• Azure ML

Discover essential tools and platforms that will make your AI journey smoother and more effective. 🛤️

🔍 Classification Algorithms

• Classification
• K nearest neighbours
• Decision Trees
• Random Forest

Dive into the world of classification algorithms and see how they can be used to solve real-world problems. 🌎

🧹 Data Preprocessing

• Data collection, cleaning, and pre-processing
• Stemming, Lematization and StopWords
• Feature Engineering
• Hands-on for Data collection, cleaning, and pre-processing

Master the art of data preprocessing and learn techniques to clean and prepare your data for analysis. 🧼

🌐 Deep Learning

• What is Deep Learning?: Neural networks and their architecture
• DL Frameworks: Introduction to Azure Databricks and PyTorch
• Hands-On Activity: Neural Networks

Explore the exciting field of deep learning and build your own neural networks from scratch. 🚀

🗣️ Natural Language Processing (NLP)

• What is NLP? Techniques and applications
• Tokenization, embeddings, and language models
• Hands-on for NLP

Unlock the power of natural language processing and learn how to process and analyze text data. 🗨️

📈 Model Evaluation

• Confusion Matrix
• Evaluation Metrics: Accuracy, precision, recall, F1-score, and ROC-AUC
• Hyperparameter Tuning
• Grid Search, Random Search, etc.
• Hands-On evaluating sample model

Understand how to evaluate your models and optimize their performance using various techniques. 📊

🧠 Advanced Topics

• HuggingFace
• AI agents
• RAG

Delve into advanced topics and cutting-edge technologies that are shaping the future of AI. 🔮

💡 Other Adhoc Topics

• Copilot
• AI Ops
• Langchain

Explore additional topics and tools that will enhance your AI knowledge and skills. 💡

Join us on this exciting journey and become part of a community of AI enthusiasts! 🚀