GenAI & LLMs | Video 2 | Part 1 | Linear regression | Venkat Reddy AI Classes
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Dive deep into the foundations of machine learning with our comprehensive tutorial on linear regression and logistic regression. Whether you're a beginner or looking to solidify your understanding, this video covers the essential concepts and practical applications of these fundamental algorithms.
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⭐️ Timestamps ⭐️
0:00:00 Path of learning LLMs
0:02:48 Quantify Association (Correlation Coefficient)
0:18:40 Linear Regression
0:32:00 Fitting of Simple Regression Simple Line
0:42:00 OLS procedure
0:55:00 Model Validation_R-Square
1:12:48 Multiple Regression Line
Introduction: We kick off with an overview of large language models and their relevance to linear and logistic regression.
Foundations: Learn the basics of linear regression and logistic regression, and understand their importance in the machine learning landscape.
Correlation Analysis: Discover the concept of correlation, and how it helps in understanding relationships between variables.
Real-World Examples: Follow along with real-world examples to see how these concepts are applied in practice.
Code Walkthrough: Get hands-on with a detailed code walkthrough for calculating correlation and implementing linear regression.
Key Points:
Introduction to linear regression and logistic regression, crucial for understanding machine learning.
Detailed explanation of correlation and how to measure relationships between variables.
Practical coding examples to calculate correlation and implement regression models.
Understanding the impact of different variables on predictive modeling.
Real-world applications to solidify theoretical concepts.
Join us as we unravel the complexities of linear and logistic regression, making it simple and accessible for anyone eager to learn machine learning. Don’t forget to like, share, and subscribe for more expert tutorials!
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