Efe Kiremitci's Projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
This repository hosts the course website of Tilburg University's open education class on "Data Preparation and Workflow Management" (dPrep) - start managing your empirical research projects efficiently!
Carefully curated resource links for data science in one place
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Toturials coming with the "data science roadmap" picture.
Open Source Data Science Resources.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
An example repository to automate a research pipeline
Marketing Analytics, Data Preparation and Workflow Management Course Tutorials
List of Data Science Cheatsheets to rule the world
Config files for my GitHub profile.
Code and data for "Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels"
DPREP final exam make automation workflow tutorial practice
DPREP exam make automation workflow practice
Predicting success of video games
A robot powered training repository :robot:
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Materials for COM 67400 taught at Purdue University
Jupyter notebooks for teaching/learning Python 3
A cheat sheet that covers all of the foundational concepts of machine learning in Python.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Learn how to responsibly develop, deploy and maintain production machine learning applications.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A collection of projects I did while at General Assembly Singapore - as part of Data Science Immersive