ZeroToHeroML: Beginner-Friendly ML & AI Course (Free)

Hey r/learnmachinelearning!

A friend of mine, who's been a software developer at Sony for 10 years, recently expressed interest in learning Machine Learning (ML) and Artificial Intelligence (AI). Leveraging my background in ML and neural computation (learned at UCSD) to create a beginner-friendly course guiding him through the basics and into more complex projects.

Foundational Concepts:

• Predicting House Prices (Regression): Master regression techniques to forecast housing prices based on various factors.
• Iris Flower Species Prediction (Classification): Learn classification algorithms by predicting flower species using the famous Iris dataset.
• Overcoming Overfitting: Explore methods to prevent models from overfitting and enhance their generalizability.

In Progress:

• Customer Segmentation (Unsupervised Learning): Delve into unsupervised learning to group customers based on purchase history or demographics (valuable for targeted marketing campaigns).
• Deep Learning for Image Recognition: Implement Convolutional Neural Networks (CNNs) to build models that recognize objects or scenes in images.
• Natural Language Processing Sentiment Analysis: Analyze the sentiment (positive, negative, or neutral) expressed in text data (e.g., reviews, social media posts) using NLP techniques.
• Introduction to Reinforcement Learning: Get acquainted with the fundamentals of reinforcement learning by creating an agent that learns to navigate a maze.

Want to Learn or Contribute?

I thought I'd share ZeroToHeroML here so others who want to learn ML/AI or know someone who does can benefit from this free resource!

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• Fork the repo: https://github.com/DilrajS/ZeroToHeroML
• Share with others interested in ML/AI!
• Pull requests welcome (help the community grow!). All help is appriciated!

Let's conquer ML/AI together!