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

List of DL topics and resources essential for cracking interviews

distfit is a python library for probability density fitting.

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

Projects of a CSE student at Marmara University

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

data science endeavour

Python scripts from paper Optimal cleaning for singular values of cross-covariance matrices, by Florent Benaych-Georges, Jean-Philippe Bouchaud, Marc Potters (see https://arxiv.org/abs/1901.05543)

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.

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 …

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).

LaTeX author support files for IMS supported journal BJPS

Formula Sheet for Ph.D Qualifying Exams in Probability and Stochastic Processes

Data Science for Biological, Medical and Health Research: Notes for PQHS/CRSP/MPHP 431

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

statistical computing, is the interface between statistics and computer science. It is the area of computational science (or scientific computing) specific to the mathematical science of statistics.

Python module for performing sportsbook odds calculations