Discover @newsteps8 Open Source projects

Büşra Gökmen (@newsteps8)

newsteps8

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Location 🇹🇷 Turkey
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Turkish_Word_Derivator

This is a project that derives new Turkish words from the roots of Turkish words with the help of Zemberek.

Air-Pollution-Forecast-Based-On-DL-and-ML-Models

This repository has been created for air pollution forecast in the coming hours in Beijing.

Jupyter Notebook

CacheSimulation

how to create caches and how they works

COLORIFY

Color the pics with deep learning based model

Hook_Game

this is an intermediate level game written in object-oriented

Gender-Detection-With-Social-Media-Data

In this study, it is aimed to determine gender based on the frequency of word groups in users' posts and profiles.

Jupyter Notebook

Turkish-Sentiment-Analysis

sentiment classification with LSTM and other machine learning algorithms

Jupyter Notebook

MovieBox

It is a SQL database project that making access to movie datas easier.

frequency-of-suffixes-for-turkish-NLP

In this project, it is aimed to find the frequency of positive, neutral and negative meaning according to the usage rates of the suffixes brought to the end of Turkish words. Thus, we will be able to rate the negative, positive and neutral meanings of the Turkish suffixes. This can contribute to NLP(Naturel Language Processing) studies for Turkish Language.

Jupyter Notebook

Knapsack_Problem

ImageClassification

Image Classification Notebook

Jupyter Notebook

Basic_Terminal-Linux-

Terminal simulation that have basic command and method of GNU Linux Terminal.

Myshell-Scripts

Term-Deposit-Prediction

Unbalanced Customer Data

Jupyter Notebook

ConnectFour-AI-Based-Game

Connect Four is a deterministic board game. We create a strategic AI model for this game. We used minimax algorithm and heuristic function to improve our strategy.

Animal_Farm

Everyone is equal, but some are more equal. This is an object-oriented Java project.

Nutritions_Classifier_With_Various_Models

By using the ratios of various nutritional values as data, it is aimed to find out which foods are closer to animal, vegetable or mixed food types. Using various supervised and unsupervised classification models, the efficiency of these models was evaluated by looking at the F1-score values.

Jupyter Notebook

Efficiency_of_SortingAlgorithms

Which sorting algorithm grows faster with the time complex data size or the space complex grows faster. In this project, we compared the time and space complexities of counting_sort, heap_sort, quick_sort, insertion_sort and merge_sort algorithms.