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Aditi Wagh

Passionate about lea... • 21d

🚀 Day 1 of My Machine Learning Journey Machine Learning isn’t magic — it’s built on three strong pillars 👇 🔹 1. Mathematics You don’t need to be a professor in math ❌ Just a clear understanding of these core concepts is enough: ✔ Linear Algebra ✔ Calculus ✔ Probability ✔ Statistics 🔹 2. Programming Machine Learning has one clear champion — Python Key tools I’m focusing on: • NumPy • Pandas • Matplotlib • Seaborn 🔹 3. Machine Learning Concepts There are three main types of Machine Learning: ✅ Supervised Learning ✅ Unsupervised Learning ✅ Reinforcement Learning 🧠 Deep Learning (subset of Machine Learning): • Neural Networks • Feed Forward Networks • Backpropagation • Recurrent Neural Networks (RNN) • Convolutional Neural Networks (CNN) ⚙ Frameworks & Libraries • PyTorch 🔥 • TensorFlow 🔷 📌 Day 1 done. Learning in public and staying consistent. Onwards and upwards 🚀

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