Pinned Repositories
AI-for-trading
Repository of all completed projects during the "AI for Trading" Nanodegree
AI_ML
Amazon-Product-Classification
Deep Learning based classification model to classify products on Amazon, using product image, text title and brand name
android-malware-analysis
This project seeks to apply machine learning algorithms to Android malware classification.
ANONS
ANOVA for neural networks
AutoArima-Time-Series-Blog
This is the code notebook for the blog post on using Python and Auto ARIMA
automl-workshop
Repository with required files for automated ML worshops
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.
Bank-Marketing-Campaign-Analysis
Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
bayesian-methods-for-ml
Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
tufanmaitydev's Repositories
tufanmaitydev/AI_ML
tufanmaitydev/AI-for-trading
Repository of all completed projects during the "AI for Trading" Nanodegree
tufanmaitydev/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.
tufanmaitydev/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.
tufanmaitydev/CNN
Convolutional neural network overview and exploration in Jupyter Notebooks
tufanmaitydev/courses-intro-to-python
Introduction to Python by Filip Schouwenaars
tufanmaitydev/courses-intro-to-r
Introduction to R by Jonathan Cornelissen
tufanmaitydev/courses-intro-to-sql
Intro to SQL for Data Science by Nick Carchedi
tufanmaitydev/courses-intro-to-unix-shell
Introduction to Shell for Data Science by Greg Wilson
tufanmaitydev/darknet
Convolutional Neural Networks
tufanmaitydev/dash-sample-apps
Apps hosted in the Dash Gallery
tufanmaitydev/Data-Noida-2019-Sept
tufanmaitydev/deeplearning-models
A collection of various deep learning architectures, models, and tips
tufanmaitydev/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
tufanmaitydev/jupyter
Jupyter metapackage for installation, docs and chat
tufanmaitydev/learnopencv
Learn OpenCV : C++ and Python Examples
tufanmaitydev/machine-learning-aug-2019
Pitampura Batch | Prateek & Mohit
tufanmaitydev/MachineLearning
MachineLearningStudy
tufanmaitydev/ML
ML Deployment
tufanmaitydev/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.
tufanmaitydev/ML-Noida-2019-Aug
tufanmaitydev/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
tufanmaitydev/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
tufanmaitydev/NLP-with-Python
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
tufanmaitydev/nlpaug
Data augmentation for NLP
tufanmaitydev/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
tufanmaitydev/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
tufanmaitydev/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
tufanmaitydev/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
tufanmaitydev/Tensorflow2-Tutorial
Tensorflow 2.0 toy examples