coursera-assignment

#计算机科学# Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

#计算机科学#Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...

#计算机科学#Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

"Meta Front End Developer Professional Certificate" - Solutions to all assignments and graded quiz.

#自然语言处理#Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

#计算机科学#A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera

Django for Everybody Specialization Course by University Michigan (Coursera)

#安卓#Solutions for the course Java for Android

#计算机科学#Tensorflow Advanced Technique Specialization

This repository contains the answers for coursera 's "Databases and SQL for Data Science with Python " course by ibm with honors (week 1 - week 6)

#算法刷题#my presonal repo for Data Structure and Algorithms by Coursera

All my solved ASSIGNMENTS & QUIZZES in Python Data Structure course on COURSERA using Python 3.

#计算机科学#Deeplearning.AI TensorFlow Advanced Techniques Specialization Solution

#计算机科学#IBM Data Science Professional Certificate

#自然语言处理#NLP Specialization (Natural Language Processing) made by deeplearning.ai

This repo consists of the lecture PDFs and quiz solutions of all the courses under the IBM Data Science Professional Certificate specialization course of Coursera.

Repository for the Honor Track of Recommender Systems Specialization from University of Minnesota on Coursera

#计算机科学#Deeplearning.AI Generative Adversarial Networks (GANs) Specialization Solution

#计算机科学#Solutions to DeepLearning.AI Generative Adversarial Networks (GANs) Specialization

This Extension is designed to automate the process of completing Coursera courses. It can be used to complete quizzes, lectures, reading materials, ungraded plugins, discussions, and shareable link.