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Foundations of AI \u0026 Machine Learning**  \n🔹 **2. Essential Math for ML (Linear Algebra, Probability, Statistics)**  \n🔹 **3. Supervised Learning: Regression \u0026 Classification**  \n🔹 **4. Support Vector Machines (SVM) \u0026 Decision Trees**  \n🔹 **5. Unsupervised Learning \u0026 Clustering**  \n🔹 **6. Neural Networks \u0026 Deep Learning (Coming Soon!)**  \n🔹 **7. Hands-on ML Projects \u0026 AI Challenges**  \n\n👉 **See the full content breakdown in the book!**  \n\n---\n\n## 💻 How to Use This Repo  \n1️⃣ **Clone this repository:**  \n```bash\ngit clone https://github.com/Python840/Machine-Learning-From-Math-to-Models.git\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpython840%2Fmachine-learning-from-math-to-models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpython840%2Fmachine-learning-from-math-to-models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpython840%2Fmachine-learning-from-math-to-models/lists"}