E.Bilgin's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Roadmap to becoming an Artificial Intelligence Expert in 2020
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
This is Andrew NG Coursera Handwritten Notes.
:memo: An awesome Data Science repository to learn and apply for real world problems.
🔧 A curated list of awesome dataset tools
A curated list of gradient boosting research papers with implementations.
Using AWS Lambda with Docker to deploy a deep learning model
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Natural Language Processing
Data science interview questions and answers
My personal repository
A list of cool features of Git and GitHub.
Performing NLP and Regression algorithms on dataset
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
Linkedin quiz assessment, answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз
Customer Segmentation using RFM analysis
Generates LaTeX math description from Python functions.
This repository provides everything you need to get started with Python for (social science) research.
Add linear models including instrumental variable and panel data models that are missing from statsmodels.