Day 10 : Bayes Theorem and Naive Bayes Classifier
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Core concepts of Machine Learning: regression, classification, clustering
Deep Learning fundamentals: neural networks, backpropagation, activation functions
Hands-on coding tutorials using Python, TensorFlow, and PyTorch
Real-world projects to connect theory with practical applications
Tips & tricks to avoid common beginner mistakes
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Beginners who want to start their journey into AI and ML
Students and professionals looking to upskill in data science & AI
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📌 How to Follow the Series:
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Practice using the provided coding files and notebooks
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🚀 Welcome to the Machine Learning & Deep Learning Series!
This channel is dedicated to teaching you everything from the basics of Machine Learning to the advanced world of Deep Learning — in a practical, beginner-friendly way.
🔍 What You’ll Learn:
Core concepts of Machine Learning: regression, classification, clustering
Deep Learning fundamentals: neural networks, backpropagation, activation functions
Hands-on coding tutorials using Python, TensorFlow, and PyTorch
Real-world projects to connect theory with practical applications
Tips & tricks to avoid common beginner mistakes
👩💻 Who Is This For?
Beginners who want to start their journey into AI and ML
Students and professionals looking to upskill in data science & AI
Anyone curious about how machines learn and think
📌 How to Follow the Series:
Watch each episode step by step
Practice using the provided coding files and notebooks
Share your progress and ask questions in the comments
Don’t forget to Subscribe & hit the bell icon so you never miss an update!