In this step by step hands-on guide we will not only guide you through the conventional Frequentist approach but we will also unveil the power of algorithms and understand frequentist Inference through machine learning. Let’s Dive In !
Introduction
Embark on a captivating journey as we demystify the art of predictive modeling through Linear Regression. Its time to adding a touch of statistical sophistication to your predictive arsenal.
Step 1 — Framing the Challenge
Imagine predicting house prices based on various features. Our quest begins by framing this challenge and understanding the intricacies of our dataset.
Step 2 — Exploring the Data
Dive deep into the dataset unraveling its secrets and visualizing the relationships between variables. This step lays the foundation for our modeling journey.
Step 3 — Frequentist Approach
Step into the shoes of a Frequentist statistician. Split the dataset, train the Linear Regression model and evaluate its performance.
Conclusion
This project transcends the ordinary, guiding you through Linear Regression with Frequentist lens. As you embrace the predictive power of statistics may your journey be as illuminating as the insights you extract from your data.
