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
Machine Learning Code Implementations in Python
Demonstrate central limit theorem (CLT)
Topics in Probability Theory and Stochastic Processes
about statistical techniques for Data Science
Data Science Statistics Interview Questions
Exploring CLT with Python
Exercise solution to the Probability Theory course
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
This repository contains the solutions to HackerRank's 10 Days of Statistics.
Projects for the Intelligent Systems course
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.
This project analyzes a Portuguese bank's term deposit marketing campaigns, uncovering key factors and client profiles to optimize marketing strategies and enhance the bank's lending pool and revenues.
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