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In this video on probability and statisics for data science and ai, we will dive into essential concepts such as probability distributions, Bayes' theorem, hypothesis testing, and regression analysis. Learn how to apply these principles to real-world data sets, enhancing your ability to make data-driven decisions. Whether you're a beginner or looking to solidify your knowledge, this video breaks down complex topics into easy-to-understand segments, providing practical examples and hands-on exercises. Join us to master the statistical foundation crucial for a successful career in Data Science and AI.
Following are the topics covered in Complete Statistics For Data Science Full Course 2025:
00:00:00 - Introduction to Complete Statistics For Data Science in 8 Hours
00:01:45 - Probability and Statistics
00:48:04 - Mathematics for machine learning
02:38:28 - What is Data Science
02:42:49 - Data science course unboxing
02:48:59 - Roadmap to Data Science
02:58:11 - Classification of Machine Learning
- Decision Tree in Machine Learning
- Random Forest Algorithm
- K Means Clustering Algorithm
- Naive Bayes Classifier
- What is Deep Learning?
06:15:10 - Data Science Interview Questions
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2025/08/13
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