ValerieLBoss's Stars
OpenInterpreter/open-interpreter
A natural language interface for computers
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
microsoft/sql-server-samples
Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
matplotlib/cheatsheets
Official Matplotlib cheat sheets
realpython/materials
Bonus materials, exercises, and example projects for our Python tutorials
microsoft/WhatTheHack
A collection of challenge based hack-a-thons including student guide, coach guide, lecture presentations, sample/instructional code and templates. Please visit the What The Hack website at: https://aka.ms/wth
microsoft/powerbi-desktop-samples
Power BI Desktop sample files for the monthly release. Here you can find the PBIX files used in the monthly release videos.
microsoft/MLOpsPython
MLOps using Azure ML Services and Azure DevOps
microsoft/MSLab
Azure Stack HCI, Windows 10 and Windows Server rapid lab deployment scripts
rasbt/matplotlib-gallery
Examples of matplotlib codes and plots
microsoft/XmlNotepad
XML Notepad provides a simple intuitive User Interface for browsing and editing XML documents.
microsoft/PythonProgrammingPuzzles
A Dataset of Python Challenges for AI Research
microsoft/powerbi-jupyter
A Custom Jupyter Widget Library for Power BI
stefmolin/pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
microsoft/pbiworkshops
Training workshops for Power BI.
milaan9/11_Python_Matplotlib_Module
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
sidharth1805/Spotify_etl
microsoft/PowerBI-visuals-sampleBarChart
Bar Chart Custom Visual for tutorial.
microsoft/vscode-powerquery
Visual Studio Code extension for Power Query / M.
microsoft/vscode-jupyter-powertoys
PowerToys for Jupyter notebooks in VS Code
microsoft/PowerBI-visuals-NetworkNavigator
Network Navigator custom visual for PowerBI
Ashleshk/IBM-Data-Science-Specialization-Coursera
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.
datayoga-io/lineage
Generate beautiful documentation for your data pipelines in markdown format
kk289/IBM-Data-Science
This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.
abdelhaqs/apache-pyspark-by-example
Apache pyspark by example
abhiram540/Apache_PySpark_by_Example
The Colab Notebook in this repository does a great job explaining why you would use Spark and PySpark, walking you through the technical setup, illustrating how to talk to the DataFrame API, and distinguishing these DataFrames from RDDs — Resilient Distributed Datasets that are essentially big lists, but stored in different locations — a cornerstone of the PySpark toolkit. (Credits: LinkedIn Learning - Apache PySpark by Example))
drjkuria/apache-pyspark-by-example
Apache PySpark by Example
jonfernandes/apache_pyspark_by_example
nickolasrm-Learn/PySpark-1-ApachePySparkByExample
Challenges from Apache "PySpark by Example" by Jonathan Fernandes