Fatih Sevban Uyanik's Projects
Contains all of the lab tasks of CS 224 course. Also, includes some MIPS excercises
An API is written for the blogger application. Implemented an OATH2 authentication system using passport. Includes policies, database relationships, migrations, validations... While implementing this application, PHP, Laravel, MySQL, Git and Laragon is used.This API is used by the fortend frameworks VueJS.
Blogger is a social media application that enables users to share their images and blog posts. This project is the frontend part and developed with VueJS, Vuex, VeeValidate, VueRouter, Toastr, Bootstrap and axios.
German traffic signs dataset is analysed with Keras. This task is a multi-class classification problem and the dataset is complex because of containing 200 classes with 12000 images. The dataset is splitted into training, validation and test dataset and normalised. Data is preprocessed and data augmentation is applied. The ResNet model is used by the courtesy of transfer learning and trained. At the end of this process, 69% acurracy is obtained on the test dataset
The Settlers of the Catan is a strategy game played by 3-4 people where everyone plays in turns. The game starts by assembling hexagonal map pieces and shuffling and placing the cards. Each player chooses his/her figure to play with. Construction price cards are distributed to players where the information about construction such as village or cities and the points they provide are written. At the beginning of the first turn, the player who has the turn rolls two die and place villages and roads on the map to a place he desires. After each player settles his/her first villages and roads, the competition starts. In each tour, the player rolls the die and can collect sources, buy or use development cards, trade (swap sources), and do construction. After the die are rolled, players who have own constructions lying on that numbered map gains sources. There are five types of source cards which are wood, brick, iron, sheep, and wheat. These source cards are utilized while doing construction and buying development cards. If the sum of numbers on the die is seven, each player who has seven or more cards places half of them to the chest, also the player who has rolled the die can place the thief figure on wherever place on map he/she wishes where the next player won't be able to get source cards from that place. The player who places the thief gets a random source card from each player who owns construction in that place. The player who owns the tour can trade his/her source cards with other players or the chest. In order to construct a village, the player must reach that part of the game by building roads. Villages can be upgraded to cities. There are three types of development cards that add more game functionality to the game. If a player collects 10 points from constructions and cards, the player wins and the game ends.
Chatter is a mobile application where users have the opportunity to chat with each other and also, create groups. In this mobile application Firebase Realdatabase, Storage and Cloud Messaging is used. In addition to firebase, various third party libraries and material design features are also included.
In this project, various concepts are used for evaluating the cells and increasing the accuracy of cancer detection. These concepts are Principal Component Analysis (PCA), Logistic Regression Classification, K-Nearest Neighbors (KNN) Classification, Support Vector Machine (SVM) Classification, Decision Tree Classification, ANN and Naïve Bayes Classification. This algorithms are implemented by using scikit learn library and Pytorch.
CIFAR10 dataset is analysed with PyTorch. Implemented LeNet model. This task is a multi-class classification problem. The dataset is splitted into training and test dataset and it is normalised.Data is preprocessed and data augmentation is applied. The LeNet model is implemented from scratch and trained. At the end of this process, 75% acurracy is obtained on the test dataset and corresponding plots are shown.
CS 421 Computer Networks course Homeworks, Programming Assignments and sample Quiz questions.
CS 315 Programming Languages course Homeworks. Contains code snippets from scheme, PHP, JavaScript, Python and Perl.
Contains all of the homeworks and code sippets of CS 201 and CS 202 course. Also, includes some C++ data structure excercises.
German traffic signs dataset is analysed with Keras. This task is a multi-class classification problem and the dataset is complex because of containing 40 classes with 50000 images. The dataset is splitted into training, validation and test dataset and normalised. Data is preprocessed and data augmentation is applied. The LeNet model is implemented from scratch and trained. At the end of this process, 98% acurracy is obtained on the test dataset and corresponding plots are shown.
Indoor scene recognition is a challenging open problem in high level vision. In this project, two VGG16 models sre used to classify the indoor dataset. One of these models is pretrained and the other is not pretrained. It can be obviously seen that the pretrained model performs much better than the untrained one. The reason behind is that, when a model is pretrained, learning new tasks is easier for it. The pretrained model had an acurracy of 86% on test data with 10 epochs, whereas, the model that is not pretrained had 40% acurracy on test data even though it had 80 epochs.
InstaKotlin is a social media application that enables people to share their images and videos. Users can chat with each other and make comments about the posts of other users. Used Kotlin, Fragments, Material Design, Firebase, various third-party libraries, Git, consists of 15k lines of code.
illustrates how to use Internal External Storage on an android device
Contains all of the lab tasks of CS 102 course.
Lara-Tech is a broad technological e-commerce web site project. Two authentication systems are available for admins and clients. 2 factor authentication is also implemented from scratch. In this project, clients, admins, products, main categories, sub categories, orders, baskets, profiles, carts, comments and admin panels are available. While implementing this application, PHP, Laravel, Blade, MySQL, Git and Laragon is used.
Implemented Logistic Regression and Linear Regression from scratch by using only numpy library. Tried out different parameters for tuning and reported the results from every aspect. Implemented both batch gradient descent and stochastic gradient descent models and applied them to models.
An Application that illustrates various components of Material Design in Android App Development such as Recycler Views, Navigation Bars, Tab Layouts, Snack Bars, View Pagers…
An Application that illustrates various components of Material Design in Android App Development such as Recycler Views, Navigation Bars, Tab Layouts, Snack Bars, View Pagers…
A simple blog API is provided that uses caching in querying blogs. This repo could be used as a template in implementing this feature in more comprehensive applications. Queries are cached based on user ids and subsequent queries that are within 5 seconds are provided by Redis.
Implemented Bernoulli and Mutinomial Naive Bayes models from scratch to Twitter US Airline Data Set. Analyzed online data to measure customer satisfaction for the airlines in the US and reported the results in depth.
NoteApp is a mobile app that enables people to take notes, categorize notes and assign these notes to a certain date. This mobile application is written in Kotlin and sql lite database is used with content resolvers.
NoteHolder is a mobile application that enables people to take notes and assign these notes to a certain date. This mobile application is written in Kotlin and sql lite database is used with content resolvers.