melihcanyardi
Boğaziçi University POLS & PHIL (BA) | Koç University CompSocSci (MA) | Interested in Data Science, Machine Learning and Deep Learning (NLP, CompSocSci)
Koç UniversityIstanbul, Turkey
Pinned Repositories
text-processing-for-social-sciences
Automated text processing for Social Sciences
Automate-the-Boring-Stuff-with-Python
This repository includes the Python scripts I have written for both exercises and practice projects of the first part of Automate the Boring Stuff with Python.
CSSM501-Project
Code for CSSM501 Final Research Paper
DASC521-IntroToMachineLearning
Materials for DASC521/ENGR421: Introduction to Machine Learning course
Datajarlabs-Data-Science-Bootcamp
Datajarlabs Data Science Bootcamp - Assignment Notebooks & Capstone Projects
Natural-Language-Processing
This repository includes the notes and codes I wrote while learning Natural Language Processing from online courses.
Python-for-Data-Science-and-Machine-Learning-Bootcamp-Data-Capstone-Projects
This repository includes the Data Capstone Projects from the Udemy course "Python for Data Science and Machine Learning Bootcamp".
PythonCourse
CSSM 502 - Advanced Data Analysis in Python
add-metadata-to-twitter-user-objects
Read user objects, add metadata ('following', 'followers', 'tweets', 'follower_count', 'following_count', 'downloaded', 'pp'), insert into database or write to daily files
twitter_database
This repo consists of code regarding the creation of our twitter database and interaction with this database
melihcanyardi's Repositories
melihcanyardi/Datajarlabs-Data-Science-Bootcamp
Datajarlabs Data Science Bootcamp - Assignment Notebooks & Capstone Projects
melihcanyardi/Automate-the-Boring-Stuff-with-Python
This repository includes the Python scripts I have written for both exercises and practice projects of the first part of Automate the Boring Stuff with Python.
melihcanyardi/CSSM501-Project
Code for CSSM501 Final Research Paper
melihcanyardi/DASC521-IntroToMachineLearning
Materials for DASC521/ENGR421: Introduction to Machine Learning course
melihcanyardi/Natural-Language-Processing
This repository includes the notes and codes I wrote while learning Natural Language Processing from online courses.
melihcanyardi/Python-for-Data-Science-and-Machine-Learning-Bootcamp-Data-Capstone-Projects
This repository includes the Data Capstone Projects from the Udemy course "Python for Data Science and Machine Learning Bootcamp".
melihcanyardi/CSSM530-Project
GitHub Repo for CSSM530 Final Research Paper - Political Ideology Classification in Turkish Tweets
melihcanyardi/Parliamentary_Activities_Research
Data collection and analysis of parliamentary activities at Turkish Grand National Assembly
melihcanyardi/PythonCourse
CSSM 502 - Advanced Data Analysis in Python
melihcanyardi/SocialComQuant-Summer-School-2022
This repository includes (some of the) codes for the Social ComQuant Summer School 2022 Group 5 Project - "Sentiment Analysis & Topic Modeling of the Discussions about Potential Candidates for the Upcoming Presidential Election in Turkey"
melihcanyardi/CSSM550-Capstone_Project
Capstone project data, code and report for the CSSM550: DS4SDGs Course
melihcanyardi/DataCamp-Projects
This repository includes the DataCamp projects I have completed that are part of the "Data Scientist with Python" Career Track.
melihcanyardi/Deep-Learning
This repository includes the notes and codes I wrote while studying Deep Learning from online courses.
melihcanyardi/kadikoy-twitter
Data collection and analysis of Twitter users from Kadıköy
melihcanyardi/Patika-Data-Science-for-the-Public-Good-Patikasi
Kodluyoruz | Data Science for the Public Good Bootcamp
melihcanyardi/Python-Crash-Course-2e-Part-I
This repository includes the Python scripts I have written in the first part of Python Crash Course (2nd Ed.) by Eric Matthes.
melihcanyardi/python-web-scraping-workshop
Materials for the "Advanced Web Scraping with Python for Social Scientists" workshop
melihcanyardi/web-scraping-jazz-standards
This is my first personal, unguided data science project. In this web scraping project, I have created a dataset of 1000 jazz standards by retrieving data from the JazzStandards.com website using Python libraries Requests, Beautiful Soup, and cleaned, tabularized it using pandas and NumPy.