A starter guide to Machine Learning
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Updated
Feb 10, 2019 - Jupyter Notebook
A starter guide to Machine Learning
Anomaly Detection with Spark Machine Learning
This Power BI project provides a comprehensive analysis of sales and profit data, aiming to offer actionable insights for business decision-making. The dashboard includes key performance indicators (KPIs) such as total sales, total profit, total quantity sold, and average delivery days. It also presents the sum of sales by category and sub-category
A portfolio to showcase work I have done over the years 📊👨💻📈
Advanced House Sales Prediction Dashboard that gives analysis of best houses depending on various factors.
Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in advanced analytics. Built on .NET to run anywhere.
CF based Music Recommendation using Spark/MLLib
✨ An authorial set of fundamental python recipes on Data Science and Analytics.
A repository for information related to the Data Analytics team's Advanced Analytics for the OCDO need.
Repo to showcase solution examples and learning content curated by the advanced analytics experts within Microsoft Finance
The Open Source Advanced Analytics and Business Intelligence Suite - Vue Js Frontend
Light-weight, Python-based data-analysis framework
Microsoft Cloud Workshop Asia for Intelligent Cloud / Intelligent Edge
This repo contains a dataset, exercises, and sample code for an end-to-end SAP BTP data-to-value bootcamp covering SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Data Intelligence Cloud, and SAP Analytics Cloud.
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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