10 Days of Statistics Challenges at HackerRank
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
about statistical techniques for Data Science
Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems
Machine Learning Code Implementations in Python
Demonstrate central limit theorem (CLT)
EPS course projects
Topics in Probability Theory and Stochastic Processes
Exercise solution to the Probability Theory course
Exploring CLT with Python
Data Science Statistics Interview Questions
Business Case: Walmart - Confidence Interval and CLT
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.
Analysing customer purchasing behaviour against the customer's gender and various other factors to help the business make better decisions.
Data Analysis Course (EE 201), IIT Dharwad
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
Central Limit Theorem for Process Improvement with Python
This repository contains the solutions to HackerRank's 10 Days of Statistics.
Projects for the Intelligent Systems course
Analyze Walmart Black Friday purchase data to understand customer spending patterns by gender, marital status, and age using Confidence Intervals and the Central Limit Theorem (CLT). Includes EDA, visualization, hypothesis testing, and actionable business insights.
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