Name: Daniel Samwel Amon Ochieng Otieno
Type: User
Company: Standard Chartered Global Business Services
Bio: | Data Science | Artificial Intelligence|Machine Learning Engineer |Data Visualization|BI Tools Evangelist
Location: Kuala Lumpur, Malaysia
Daniel Samwel Amon Ochieng Otieno's Projects
Course files for AI Introduction course
An Artificial Intelligence Platform for IT Operations.
The fundamental package for AIops with python.
Codes related to activities on AV including articles, hackathons and discussions.
This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to connect, explore, and visualize data with Power BI, sign up for this course on edX.
Course files for DAT203.3x: Applied Machine Learning
Applied Data Analysis: Working in Organizations and Industries (edX Course)
Arms Globe Visualization
An Open Source, Self-Hosted Platform For Applied Deep Learning Development
Machine learning and process automation
[Draft] Awesome AIOps
A curated list of awesome network analysis resources.
This is retrieval based Chatbot based on FAQs found at a banking website.
Interactive Web Plotting with Bokeh in IPython notebook
Repository for content for the Bots MVA
Building Chatbots with Rasa,Spacy,Wit.Ai,etc
Repository with code and slides for a tutorial on causal inference.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Python port of CausalImpact R library
Tools for causal analysis
Causality event extraction demo project including casual patterns and experiment on large scale corpus. 基于因果关系知识库的因果事件图谱实验项目,本项目罗列了因果显式表达的几种模式,基于这种模式和大规模语料,再经过融合等操作,可形成因果事件图谱。
A Python library that helps data scientists to infer causation rather than observing correlation.
Auto reply suggestions to chat messages/emails (like gmail and linkedin) built using rasa_nlu framework.
Sample code for Google Cloud Vision
The final project for the Cloud Computing Specialization in Coursera: Analysis of Airline On-Time Performance Data in Hadoop and Spark.