🚀 AI Learning Roadmap (Part-1) 🟢 Step 1: Foundations ✨Basic Mathematics (Algebra, Probability, Statistics) ✨Programming with Python ✨Data Handling (NumPy, Pandas) ✨Basics of Algorithms & Logic 🔵 Step 2: Machine Learning ✨Supervised & Unsupervised Learning ✨Linear & Logistic Regression ✨Decision Trees, Random Forest ✨Model Evaluation & Metrics ✨Tools: Scikit-learn 🟣 Step 3: Deep Learning ✨Neural Networks Basics ✨ANN, CNN, RNN ✨Transfer Learning ✨Frameworks: TensorFlow, PyTorch #artificialinte
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