Gökhan Tekin's Projects
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
😎 Awesome lists about all kinds of interesting topics
A topic-centric list of HQ open datasets.
:link: Some useful websites for programmers.
🤓 Build your own (insert technology here)
A complete computer science study plan to become a software engineer.
:mortar_board: Path to a free self-taught education in Computer Science!
The Python programming language
Codes for case studies for the Bekes-Kezdi Data Analysis textbook
Interactive site for Data Analysis for Business, Economics, and Policy
Data science interview questions and answers
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.
Roadmap to becoming a web developer in 2021
A collection of (mostly) technical things every software developer should know about
The fastai book, published as Jupyter Notebooks
The iconic SVG, font, and CSS toolkit
Python-centered read-along of Forecasting: Principles and Practice
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
:books: Freely available programming books
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
Textbook website forked from minimal mistakes
Yet another GitHub profile readme :smiley:
A collection of useful .gitignore templates
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Get a full fake REST API with zero coding in less than 30 seconds (seriously)
JupyterLab computational environment.
Here you can find a list of resources that have and continue helping me in my process of learning/ teaching R.