probability-statistics topic
nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
start-machine-learning
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 t...
Python-for-Probability-Statistics-and-Machine-Learning-2E
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
Probability-And-Statistics
Random vectors: marginal and conditional distributions. Normal, t-distribution, Chi-square and F-distribution... AND A LOT MORE.
DL_Topics
List of DL topics and resources essential for cracking interviews
distfit
distfit is a python library for probability density fitting.
Data-Science-and-Machine-Learning-Projects-Dojo
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
Computer-Science-Engineering
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
machine_learning_resources
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.
pg_math
pg_math extension to support statistical distribution functions for PostgreSQL