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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NO LONGER MAINTAINED.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

anomaly-detections-apache-spark

This solution performs Anomaly Detection with Statistical Modeling on Spark. The detection is based on Z-Score calculated on cpu usage data collected from servers.

apache-spark-hands-on

Educational notes,Hands on problems w/ solutions for hadoop ecosystem

applied-ai-course

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

automl-gs

Provide an input CSV and a target field to predict, generate a model + code to run it.

awardnomination

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

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-business-intelligence

Actively curated list of awesome BI tools. PRs welcome!

awesome-iot-projects

Awesome IoT Projects. A collaborative list of great resources about IoT Demos

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-streaming

a curated list of awesome streaming frameworks, applications, etc

blackfridaydatahack

Black Friday Data Hack (online data science hackathon) held Nov 20-22 by Analytics Vidhya

content

Official content for Harvard CS109

creditcardtransactionmonitor

Credit Card Transaction Monitor is an example of a Modern Data Application running on the Hortonworks Connected Platform (HDP/HDF). The application shows how a financial institution can use Hortonworks Data Flow and Hortonworks Data Platform to protect credit card customers from credit card fraud.

data

Data and code behind the stories and interactives at FiveThirtyEight

data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

data-science--cheat-sheet

Cheat Sheets

data-science-blogs

A curated list of data science blogs

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...).

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Recently updated with 50 new notebooks! 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.

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

dataquest

datascience-anthology-pydata

PyData, The Complete Works of

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.