tufanmaitydev's repositories
AI-for-trading
Repository of all completed projects during the "AI for Trading" Nanodegree
awesome-aws
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
CDM
The Common Data Model (CDM) is a standard and extensible collection of schemas (entities, attributes, relationships) that represents business concepts and activities with well-defined semantics, to facilitate data interoperability. Examples of entities include: Account, Contact, Lead, Opportunity, Product, etc.
CNN
Convolutional neural network overview and exploration in Jupyter Notebooks
courses-intro-to-python
Introduction to Python by Filip Schouwenaars
courses-intro-to-r
Introduction to R by Jonathan Cornelissen
courses-intro-to-sql
Intro to SQL for Data Science by Nick Carchedi
courses-intro-to-unix-shell
Introduction to Shell for Data Science by Greg Wilson
darknet
Convolutional Neural Networks
dash-sample-apps
Apps hosted in the Dash Gallery
deeplearning-models
A collection of various deep learning architectures, models, and tips
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
jupyter
Jupyter metapackage for installation, docs and chat
learnopencv
Learn OpenCV : C++ and Python Examples
machine-learning-aug-2019
Pitampura Batch | Prateek & Mohit
MachineLearning
MachineLearningStudy
ML
ML Deployment
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
nlpaug
Data augmentation for NLP
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Tensorflow2-Tutorial
Tensorflow 2.0 toy examples