Скачать или смотреть Day 107: Naive Bayes Algorithm | In-depth Intuition & Maths Explained

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In this lecture, we break down the Naive Bayes Algorithm, a simple yet powerful Machine Learning classification technique based on Bayes’ Theorem. 📊

We’ll cover:
🔹 What is Bayes’ Theorem and how it works
🔹 Why it’s called “Naive”
🔹 Step-by-step mathematical intuition behind the algorithm
🔹 Working with conditional probabilities
🔹 Real-world use cases (spam filtering, sentiment analysis, etc.)
🔹 Advantages, limitations, and interview insights

By the end of this session, you’ll clearly understand the maths behind Naive Bayes and how to confidently apply it in ML projects.

📌 Great for students, beginners in ML, and anyone preparing for data science interviews.

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