honghongtest's Stars
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
adilkhash/Data-Engineering-HowTo
A list of useful resources to learn Data Engineering from scratch
igorbarinov/awesome-data-engineering
A curated list of data engineering tools for software developers
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
milaan9/DataScience_Interview_Questions
My Solutions to 120 commonly asked data science interview questions.
JifuZhao/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
khanhnamle1994/cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
huggingface/autotrain-advanced
🤗 AutoTrain Advanced
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
darbyluv2code/spring-and-hibernate-for-beginners
Source code for the course: Spring and Hibernate for Beginners
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
DA-southampton/Tech_Aarticle
主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。
DA-southampton/NLP_ability
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
darbyluv2code/fullstack-angular-and-springboot
Source code for the popular course - Full Stack: Angular and Spring Boot
resumejob/Leetcode-retag
重新分类 Leetcode 高频题
doocs/leetcode
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
ZeweiChu/nmt-seq2seq
seq2seq model written in Pytorch
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
hjian42/Natural-Language-Processing-Nanodegree
Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM-based Speech Recognition
GSimas/Deep-LearningAI
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
nosuggest/Reflection_Summary
算法理论基础知识应知应会
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
JayabharathP/The-Python-Mega-Course-Build-10-Real-World-Applications-
The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python
zclyne/The-Complete-Android-Oreo-Developer-Course
Projects of The Complete Android Oreo Developer Course on Udemy