10 Days of Statistics Challenges at HackerRank
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Exercises solved for the Practical Statistics Module of Udacity's DAND: assignments and practice problems
Topics in Probability Theory and Stochastic Processes
Machine Learning Code Implementations in Python
Demonstrate central limit theorem (CLT)
about statistical techniques for Data Science
Data Science Statistics Interview Questions
Exploring CLT with Python
Analysing customer purchasing behaviour against the customer's gender and various other factors to help the business make better decisions.
Exercise solution to the Probability Theory course
Data Analysis Course (EE 201), IIT Dharwad
Projects for the Intelligent Systems course
This repository contains the solutions to HackerRank's 10 Days of Statistics.
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
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.
Run the CLT Shiny app : https://datatrigger.shinyapps.io/CLT_Visualization/
Scripts to visualize the central limit theorem in action.
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