Machine Learning Code Implementations in Python
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Updated
May 9, 2024 - Python
Machine Learning Code Implementations in Python
This repository contains the solutions to HackerRank's 10 Days of Statistics.
CSE 569, Fall 2019 Fundamentals of Statistical Learning Course at ASU
Scripts to visualize the central limit theorem in action.
Project for the Data Science PhD course of Probability
Small set of stats examples for fun!
Various codes centered around problems in Bayesian inference, Bayesian Linear Regression, and Bayesian Non-Linear Parameter Estimation using the application of various Markov Chain Monte Carlo Algorithms
A collection of exercises and practice problems on probability and statistics using Python. Covers concepts like probability distributions, hypothesis testing, regression, and more.
Assignments from the course Foundations of Data Science. Linear Regression, Logistic Regression, PCA for Eigen Faces, GMeans, Bayesian Networks etc.
🎮 Here you can play with various Statistical Concepts.
This is a pet-project in which I am trying to create a Galton board — a device that visualizes the central limit theorem.
Coin tossing via a random number generator
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