#新手入门#微软针对初学者的机器学习课程，课程分为12周，25课时。
#计算机科学#Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practi...
#计算机科学#The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
#计算机科学#Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
#计算机科学#🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
Plant Disease Detector Web Application
Cross Beat (xbe.at) - Your hub for python, machine learning and AI tutorials. Explore Python tutorials, AI insights, and more.
#计算机科学#Tutorial Series (60 hour course): Essentials of computer vision
翻译 - 计算机视觉基础
#计算机科学#This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
#计算机科学#Machine Learning Concepts with Concepts
#计算机科学#The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorith...
#自然语言处理#A Deep-Learning multi-purpose chatbot made using Python3
📹 Collection of my Youtube Tutorials over the years! Read, write, and share what you create ✨🎈
#计算机科学#Python codes from tutorials on the Data Professor YouTube channel
Clustering for mixed-type data
#计算机科学#Resources about data science, machine learning, deep learning, data engineering, and SQL.
#计算机科学#Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature....
This is a repository built by the community for the community.