Pinned Repositories
100DaysOfMLCode
I hereby accept Siraj Raval’s 100 Days of ML Code Challenge! And Complete in 100 days from November to February. On the basis of my past one and half years experience I have done different projects in 100 days related to: Machine Learning Deep Learning Computer Vision Natural Language Processing
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
aiops-handbook
Collection of slides, repositories, papers about AIOps
analytical-sql-examples
NO LONGER MAINTAINED. Code samples for Oracle's analytical SQL features
awesome-AI-kubernetes
:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Data-Science--Cheat-Sheet
Cheat Sheets
Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Hands-On-Ensemble-Learning-with-Python
Hands-On Ensemble Learning with Python, published by packt publishing
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tokiran's Repositories
tokiran/Data-Science--Cheat-Sheet
Cheat Sheets
tokiran/Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
tokiran/Hands-On-Ensemble-Learning-with-Python
Hands-On Ensemble Learning with Python, published by packt publishing
tokiran/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tokiran/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
tokiran/Artificial-Intelligence
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools
tokiran/awesome-business-intelligence
Actively curated list of awesome BI tools. PRs welcome!
tokiran/awesome-streaming
a curated list of awesome streaming frameworks, applications, etc
tokiran/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
tokiran/DataSphereStudio
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
tokiran/E-Commerce-Clothing-Reviews
tokiran/fastbook
Draft of the fastai book
tokiran/ibm-serverless-workshop
Build serverless applications with Apache OpenWhisk
tokiran/Machine-Learning-Workflow-with-Python
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
tokiran/machine_learning_examples
A collection of machine learning examples and tutorials.
tokiran/marmaray
Generic Data Ingestion & Dispersal Library for Hadoop
tokiran/Monk_Gui
A Graphical user Interface for deep learning and computer vision over Monk Libraries
tokiran/MorphL-Community-Edition
MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization
tokiran/Movalytics-Data-Warehouse
Data pipeline performing ETL to AWS Redshift using Spark, orchestrated with Apache Airflow
tokiran/MyCommands
tokiran/practicalAI
📚 A practical approach to machine learning.
tokiran/project-based-learning
Curated list of project-based tutorials
tokiran/PySpark
PySpark functions and utilities with examples. Assists ETL process of data modeling
tokiran/pyspark-example-project
Example project implementing best practices for PySpark ETL jobs and applications.
tokiran/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
tokiran/Spark-with-Python---My-learning-notes-
ETL pipeline using pyspark (Spark - Python)
tokiran/spark_scala_ml_examples
Spark 2.0 Scala Machine Learning examples
tokiran/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
tokiran/UdacityOpenSource
A repository to keep all open sources projects that created by individuals or study groups.
tokiran/vaquarkhan