Software design principles for machine learning applications
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Updated
Nov 12, 2024 - Jupyter Notebook
Software design principles for machine learning applications
Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.
Repository of the Tranferlab Practical Anomaly Detection workshop
Learn Machine Learning with machine learning tutorials for beginners, ml practicals, ml excerices, Machine Learning Projects, Interview Questions
Example codes for students
Benchmarking ML classification models on spam dataset
This repository contains the projects and assignments of course "ITCS 8156: Machine Learning". This course has been taken in Fall 2020 semester, as part of my PhD degree at UNC Charlotte.
Machine learning lessons and teaching projects designed for engineers
Machine Learning Course for humans 📜
Homework for "Advanced Machine Learning" course in Big Data Academy MADE.
All the solutions from the programming assignments of the Machine Learning Course in Coursera taught by Andrew NG, Professor of Stanford University
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