E-Bilgin

500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

AI-Expert-Roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

Amazing-Feature-Engineering

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.

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

Data-Analysis-and-Visualization-with-Tableau

Data-Analysis-with-SQL

Database-Modelling-and-Design

E-Bilgin

My personal repository

Machine-Learning

Machine-Learning-Projects

E-Bilgin/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

E-Bilgin/Amazing-Feature-Engineering

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.

E-Bilgin/Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes.

E-Bilgin/Data-Analysis-and-Visualization-with-Tableau

E-Bilgin/Data-Analysis-with-SQL

E-Bilgin/Database-Modelling-and-Design

E-Bilgin/E-Bilgin

My personal repository

E-Bilgin/Machine-Learning

E-Bilgin/Machine-Learning-Projects

E-Bilgin/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

E-Bilgin/aws-lambda-docker

Using AWS Lambda with Docker to deploy a deep learning model

E-Bilgin/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

E-Bilgin/Best_AI_paper_2020

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

E-Bilgin/better_bid

E-Bilgin/Certificates

E-Bilgin/data-science-interviews

Data science interview questions and answers

E-Bilgin/EmployeeChurnApp

E-Bilgin/FakeNews_NLP_Classification

E-Bilgin/flask_app

E-Bilgin/General

E-Bilgin/latexify_py

Generates LaTeX math description from Python functions.

E-Bilgin/linearmodels

Add linear models including instrumental variable and panel data models that are missing from statsmodels.

E-Bilgin/Natural-Language-Processing-NLP-

E-Bilgin/online_application_platform

E-Bilgin/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

E-Bilgin/practical_nlp_workshop_gids20

Contains relevant notebooks for the hands-on NLP workshop for the GIDS AIML Conference -2020 Edition

E-Bilgin/RAG

E-Bilgin/streamlit

Streamlit — The fastest way to build data apps in Python

E-Bilgin/streamlit-geospatial

A multi-page streamlit app for geospatial

E-Bilgin/streamlit_comment