Course · Intermediate
Introduction to Conditional Probability in Python
In this course, you'll develop intermediate techniques to estimate probabilities. We'll focus on learning how to calculate probabilities based on certain conditions - hence the name conditional probability.
- Intermediate friendly
- 5 hrs
- 4 lessons
- 1 project
- Premium
Course overview
Extend probability fundamentals to conditional reasoning, independence, and prior knowledge, culminating in a Naive Bayes spam filter.
What's inside
4 lessons · 1 project
- 01 33 minConditional Probability: Fundamentals
Learn about the fundamentals of conditional probability.
- 02 59 minConditional Probability: Intermediate
Learn more about calculating conditional probabilities.
- 03 51 minBayes Theorem
Learn about the law of total probability and Bayes' theorem.
- 04 65 minThe Naive Bayes Algorithm
Learn how to use Naive Bayes to create a spam filter.
- 05 82 minGuided Project: Building a Spam Filter with Naive Bayes Project
For this project, we'll step into the role of data scientists to build an SMS spam filter using the Naive Bayes algorithm. We'll clean text data and calculate probabilities to classify messages.
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