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guide-conveyor-simulator

Create a basic conveyor belt with an IoT device that sends monitoring data to Watson IoT Platform on Bluemix Edit

hackauton

hackauton

hadoopsql

hdf-workshop

hive-opensource-summit

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

ibmdbpy-notebooks

Demos, advanced analytics in dashDB using ibmdbPy and IPython Notebooks.

ibmpartnerdemo

icp4d-tutorials

intelligent-trading-bot

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

ipython-notebooks

A collection of IPython notebooks covering various topics.

jesse

An advanced crypto trading bot written in Python

jmatio

JMatIO - Matlab's MAT-file I/O in JAVA

kaggle

This is the repository for Kaggle competitions in which I have participated

kaggle-ottogroup

kaggle_waterpumps_2

kubernetes-network-policy-recipes

Tutorials and Recipes for Kubernetes Network Policies feature

learning-apache-spark

This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.

liualgotrader

Framework for algorithmic trading

machine-learning-for-algorithmic-trading-bots-with-python

mimic-iii_readmission

Predicting 30-day ICU readmissions from the MIMIC-III database

mleap

MLeap: Deploy Spark Pipelines to Production

mleap-demo

Demonstration code for MLeap, both Jupyter notebooks and projects

movie-recommender-demo

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

nexttrade

A system that performs algorithmic trading

nyc-311

A data science project which predicts in how much time a service request will be solved.

nyc-311-data-analysis

An exploratory data analysis of NYC 311 incident data using python

oreilly-ai-k8s-tutorial

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

pixiedust-traffic-analysis

A Jupyter notebook using PixieDust and PixieApps to visualize San Francisco traffic accidents. https://developer.ibm.com/code/journey/analyze-san-francisco-traffic-data-with-ibm-pixiedust-and-data-science-experience/

python-trading-robot

A trading robot, that can submit basic orders in an automated fashion using the TD API.