There are 16 repositories under probability-statistics topic.
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.
Machine learning resources (Jupyter notebooks mostly). Originally code to complement the "EECE 5644: Introduction to Machine Learning and Pattern Recognition" course taught at Northeastern University.
Collection of all courses, and their materials, attended at Politecnico di Milano during both Bachelor level degree and Master level degree in Engineering, Computer Science Engineering
pg_math extension to support statistical distribution functions for PostgreSQL
A curated list of references to help you get up to speed with the concepts and techniques needed to become a successful ML researcher.
A math resource for CS student
♣️ ♦️ ♥️ ♠️ Train yourself for live Texas Holdem games by seeing the changing probability of winning as more cards are dealt.
Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.
All the homeworks, testers and projects done at Marmara University, Computer Science & Engineering
ShanghaiTech SI140 (Probability and Statistics) course project, fall 2021. This project is related to Multi-armed Bandit Simulation, Analysis and Design.
This repository contains a vast collection of academic notes, study materials, and resources from various semesters of Datascience course.
Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.
Final Project for Introduction to Probability and Statistics Spring 2021 offered at Habib University.
Concepts of Intelligence Artificial :brain:, Machine Learning :gear:, and Deep Learning :crystal_ball: EXPLAINED :seedling: in detail and put it into PRACTICE :deciduous_tree:.
data science endeavour
Course materials for Sta 101 - Fall 2015 semester at Duke University
:orange_book: The probability and statistics cookbook
Sources of some of the courses I took during my undergraduate education in Computer Engineering.
Esercizi e materiale utile per preparare l'esame di Elementi di Probabilità e Statistica (Università degli Studi di Torino)
Experimental Verification of Monty Hall Problem
Shevchenko University "Python and R programming languages" course
Thalessemia cannot be completely stopped or controlled, but we can predict at which generation the thalassemia genotype becomes minor and is not severe. One way is to select an appropriate spouse that has no sign of any traits of thalassemia, if you have major/minor traits, so the chances that the child may inherit any trait of thalassemia will completely eliminate. If both the parents have major thalassemia traits, then there are full chances that the child will also inherit the same, In such cases, the couple should decide not to reproduce so as to stop the transmission to any future generations. Thus, it is important to accordingly model the transmission of thalassemia to bring it in control with generations.
The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).
Analyzed and studied different kinds of demographic factors that can affect the population in the United States
Probability Calculation in Python
Simplify complex scientific computations with Vertez's intuitive framework.