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Hi there 👋

My name's Dilay. I'm a fourth-year undergraduate student at University College London (UCL) where I'm studying for an MSci (Integrated Master of Science) in Psychology and Language Sciences in the Faculty of Brain Sciences (2019-2023). I will be undertaking postgraduate (MSc) studies in Artificial Intelligence from September 2023 to September 2024 (London-based). For more information, please refer to my LinkedIn profile.

🧠 During my first year of university, I realised that I wanted to satisfy my long-standing curiosity in Artificial Intelligence (specifically Machine Learning and Deep Learning); I also gained an interest in neuroscience.

📚 I'm currently exploring these fields, both in class and in extracurricular settings: ultimately, I aspire to combine my interests in ML and neuroscience in a postgraduate programme (Master's/PhD): I'm particularly interested in computational/cognitive (neuro)science and machine learning.

Contact Details

www.linkedin.com/in/dilay-fidan-ercelik-ucl2023 dilayercelik @dilay.ercelik

Alternatively, email me: academic address or personal address

Find my GitHub Page here.

Languages and Tools:

python R RStudio pytorch scikit_learn Keras tensorflow git matlab Jupyter Notebook java anaconda

Most icons are from Devicon (2.15.1).

Dilay Fidan Erçelik's Projects

aipnd-learning icon aipnd-learning

Code and associated files created or filled in, used in my learning during the AI Programming with Python Udacity Nanodegree Program

aipnd-project-1 icon aipnd-project-1

Project 1: Use a Pre-trained Image Classifier to Identify Dog Breeds - AI with Python Programming Nanodegree (Udacity)

arvato-mlproject icon arvato-mlproject

Udacity Machine Learning Engineer Nanodegree Capstone on customer segmentation and acquisition with Arvato Bertelsmann Financial Solutions.

compneuro_washington icon compneuro_washington

This repository contains answers to the weekly quizzes of the MOOC "Computational Neuroscience" offered by The University of Washington (Coursera - 8 weeks).

cse160-data-programming-uw icon cse160-data-programming-uw

This repository contains my answers to the homework assignments of the Data Programming (CSE160) course provided at the University of Washington and freely available online.

data-science-career-path-codecademy icon data-science-career-path-codecademy

Data Science Career Path is an extensive course on Codecademy on data science. It includes 26 modules, for an average workload/engagement of 350 hours, covering a range of subjects, such as: SQL, Python, NumPy, SciPy, Pandas, matplotlib, machine learning (scikit-learn), along interactive lessons/coding sessions, coding projects and capstone projects.

dilayercelik.github.io icon dilayercelik.github.io

Personal GitHub Page, forked from the amazing Barry Clark's Jekyll Repo! ✨ Webpage at https://dilayercelik.github.io/

exampleexps_jspsych icon exampleexps_jspsych

Learning how to use the jsPsych library and JS for online behavioural experiments creation

image-classifier-flowers icon image-classifier-flowers

This repository contains the files I have submitted for the final project of the AI Programming with Python Nanodegree offered by the School of AI, Udacity.

intro-to-philosophy icon intro-to-philosophy

Notes for the 'Introduction to Philosophy' course offered by The University of Edinburgh through Coursera.

jpmorgan-virtual-internship icon jpmorgan-virtual-internship

This repository includes the data files, code and patch files related to the modules of the virtual experience in software engineering at JPMorgan Chase & Co (Available online at InsideSherpa.com)

learn-r-codecademy-course icon learn-r-codecademy-course

“Learn R” is an online course accessible on the Codecademy website that displays the fundamental programming concepts in R. It includes interactive lessons, coding sessions, as well as freeform projects to practice the skills gained throughout the modules. It comprises of 10 modules, worth approximately 20 hours of engagement.

mlnd-learning icon mlnd-learning

Code and associated files created or filled in, used in my learning during the Machine Learning Engineer Udacity Nanodegree Program

neural-networks-tfw1 icon neural-networks-tfw1

Python Package for Implementing Plain Neural Networks with Tensorflow version 1. This project is the first of the Machine Learning Engineer Nanodegree offered at Udacity, School of AI, and is part of the Software Engineering Fundamentals module.

neuroml-tumor icon neuroml-tumor

Exploratory Project on Brain Tumor Detection from MRI image data, using Residual Neural Networks (ResNet50)

plagiarism-detector icon plagiarism-detector

Code and files associated with the Project called 'Plagiarism Detector', part of the Machine Learning Engineer Nanodegree at Udacity, School of AI. This project is the third of this Nanodegree, and is part of the module 'Machine Learning, Case Studies'.

rl-bee-multimodal-sensing icon rl-bee-multimodal-sensing

Neuromatch group project: Relevance of sensory modalities for spatial navigation in foraging behaviours of the bee

sentiment-analysis-project-aws icon sentiment-analysis-project-aws

Code and files associated with the Project called 'Deploying a Sentiment Analysis Model', part of the Machine Learning Engineer Nanodegree at Udacity. This project is the second of this Nanodegree, and is part of the module 'Machine Learning in Production'

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