beegee47's repositories
spcb
The SharePoint Client Browser (SPCB) uses the CSOM to connect to a remote SharePoint site collection and shows the site structure with related properties and values.
python-tutorials
Spatial Analysis and Remote Sensing with Python Tutorials
ADL_LRS
ADL's Open Source Learning Record Store (LRS) is used to store learning data collected with the Experience API.
Introduction-to-Machine-Learning-Big-Data-and-Application
This github repo introduces a portfolio of probability theory, statistical inference, and applied machine learning topics.
oreilly-gpt-hands-on-nlg
This repository contains code for the O'Reilly Live Online Training for NLG & GPT
oreilly_sql_fundamentals_for_data
Resources for O'Reilly "SQL Fundamentals for Data" online training
practical-statistics-for-data-scientists
Code repository for O'Reilly book
Machine-Learning-101-with-Scikit-learn-and-StatsModels
Code Repository for Machine Learning 101 with Scikit-learn and StatsModels, Published by Packt
Programming-for-Statistics-and-Data-Science
Programming for Statistics and Data Science, published by Packt
slt-py-example
Safari Live Training - Python by Example
Microsoft-Power-Apps-Cookbook-Second-Edition
Microsoft Power Apps Cookbook, Second Edition, Published by Packt
ohmyzsh
🙃 A delightful community-driven (with 2,100+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
10Alytics-Hackaton---Tackling-the-Health-Crisis-in-Africa
I worked on the case study; Tackling the Health Crisis in Africa and Provided recommendations on how to curb this crisis using Power BI.
DLTFpT
Deep Learning with TensorFlow, Keras, and PyTorch
Garment-Pattern-Estimation
Reconstructing garment sewing patterns from 3D point clouds
hands-on-sql-3086685
This is the LinkedIn Learning repository for Hands On SQL.
ML-DataEng-Pipelines
To show the usefulness of data engineering and ML pipelines.
ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science