berksudan/ML-101-Course

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berksudan/ML-101-Course

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Introduction to Machine Learning Course by Berk Sudan and Mesut Şafak Bilici

GCN-Text-Classification

Text Classification using Graph Convolutional Neural Networks and Natural Language Processing Techniques

Real-time-Emotion-Detection

8 emotions detected in real-time with ~77% accuracy. Used: OpenCV, Python 3, Keras, Data Preprocessing, Deep Learning & Machine learning Techniques.

OTMISC-Topic-Modeling-Tool

We created a topic modeling pipeline to evaluate different topic modeling algorithms, including their performance on short and long text, preprocessed and not preprocessed datasets, and with different embedding models. Finally, we summarized the results and suggested how to choose algorithms based on the task.

Jupyter Notebook

Sentiment-Analysis-on-E-Commerce

Crawled Amazon E-Commerce Website, analyzed & visualized intents of customers. Used: NLP, PyQT4, Python 3, Beautiful Soup 4.

Distributed-Environment-Installation-Guide

Install Hadoop, HDFS, Yarn and Spark on 3 Ubuntu 18.04 Machines

Useful-Bash-Scripts

Useful, tiny shell scripts are being collected here.

TUM-Analytics-Cup-2022-Winner-Versed-Chimpanzee

Our team (Versed Chimpanzee) came first among 340 people and 148 registered teams (119 teams did submission) in TUM Analytics Cup 2022 challenge sponsored by Siemens Advanta Consulting and organized by TUM Informatics Decision Sciences & Systems Department.

Jupyter Notebook

Success-Prediction-on-E-Learning

A distributed classification tool developed as a graduation project. Used: Big Data Analysis, Java 8, Spark, Web Mining, Machine Learning.

YTU-Bologna-English-Curriculum-Scraper

Scrape English course descriptions from YTU Bologna page via this small program

Loan-Data-Report-with-AWS

Built a distributed system which completes several objectives with given data to generate loan reports using Amazon Web Services, Apache Spark, Java and Python.

Python-Kafka-Server

Handy tool to manage Apache Kafka scripts. You can start Apache-Kafka services, create topics, list topics, create producers and consumers easily. It basically automates shell scripts with the power of simplicity and great scalability of Python 3.

Credit-Approval-Tool

Classified and clustered bank clients with respect to their user profile and decided if they should get credit. KNN & KMeans algorithms, K-Fold developed in C without libraries.