aybukemeydan's Stars
aws-samples/aws-machine-learning-university-accelerated-nlp
Machine Learning University: Accelerated Natural Language Processing Class
akoksal/Turkce-Duygu-Takibi
Türkçe duygu analizi ile imaj takibi yapan çalışmamız
theainerd/MLInterview
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
carpedm20/emoji
emoji terminal output for Python
florinpop17/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
GoogleCloudPlatform/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
wuduhren/leetcode-python
Leetcode Python Solution and Explanation. Also a Guide to Prepare for Software Engineer Interview.
Mustafasavran/AcikHack-Hackathon-GuessTech
shawlu95/Beyond-LeetCode-SQL
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
firstcontributions/first-contributions
🚀✨ Help beginners to contribute to open source projects
anuraghazra/github-readme-stats
:zap: Dynamically generated stats for your github readmes
Asabeneh/30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
MMBazel/Springboard-DataScienceTrack-Student
Springboard Program: Data Science Career Track - NLP
llSourcell/linear_regression_live
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
merveenoyan/NLP-Helpers
Doğal dil işleme (NLP) için derlediğim fonksiyonlar.
Fixy-TR/fixy
Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.
tthustla/twitter_sentiment_analysis_part1
data preparation
zsh-users/zsh-autosuggestions
Fish-like autosuggestions for zsh
kurasaiteja/Whatsapp-Analysis
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
uzay00/KaVe-Egitim
Veri Bilimi, Yapay Öğrenme, Derin Öğrenme konuları işlenecektir.
ChunML/NLP
This is where I put all my work in Natural Language Processing
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
jbrownlee/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
bmatzelle/gow
Unix command line utilities installer for Windows.
krishnaik06/Feature-Selection-techniques
rouseguy/intro2stats
Introduction to Statistics using Python
0xferit/ITU-Turkish-NLP-Pipeline-Caller
A Python3 wrapper tool to help using ITU Turkish NLP Pipeline API -- UNMAINTAINED --
jalajthanaki/NLPython
This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"
sibirbil/IMO2020
İstanbul'da Makine Öğrenmesi (27 Ocak- 2 Şubat, 2020) - Ders malzemeleri