probability-statistics

ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

List of DL topics and resources essential for cracking interviews

Second edition of Springer Book Python for Probability, Statistics, and Machine Learning

Python package for probability density function fitting of univariate distributions of non-censored data

Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.

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

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

Concepts of Intelligence Artificial 🧠, Machine Learning ⚙️, and Deep Learning 🔮 EXPLAINED 🌱 in detail and put it into PRACTICE 🌳.

Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.

Course materials for Sta 101 - Fall 2015 semester at Duke University

Source files for "Learning Statistics with R"

📙 The probability and statistics cookbook

Some useful tools for solving probability and statistics exercises I implemented while studying for the Elements of Probability and Statistics exam.

data science endeavour

Repo for July 2020 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/

PS 813: Multivariate Statistical Inference

Probability Calculation in Python

This repository contains a Python package that implements Gaussian and Binomial distributions.

Shevchenko University "Python and R programming languages" course

Regression Task using OMP on UCI Machine Repository in MATLAB

Implementation of data-driven model falsification methods in Python.

All Homeworks for MATH118(Probability and Statistics) (PYTHON and LATEX)

ModernDive: An Introduction to Statistical and Data Sciences via R

Introduction à l'analyse d'enquêtes avec R et RStudio

Source files for OpenIntro Statistics labs

Analyzed and studied different kinds of demographic factors that can affect the population in the United States

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.

All the homeworks, testers and projects done at Marmara University, Computer Science & Engineering

YaRrr! The Pirate's Guide to R