Mini Project
Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 1-5), covering foundational concepts in probability and distribution theory. Topics include random variables, probability distributions, expectation, and limit theorems, essential for applications in machine learning, AI, and robotics.
This repository has been created to complete an assignment given by datainsightonline.com. This assignment is a part of Data Insight | Data Science Program 2021.
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