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aws-certified-cloud-practitioner-notes

AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

azure-devops-docs

This repo is the home of the official Azure DevOps documentation for Microsoft. GitHub Issues filed in this repository should be for problems with the documentation.

chapter03

Learn Microservices with SpringBoot 3 (3rd edition) - Chapter 3

chapter04

Learn Microservices with Spring Boot (3rd edition) - Chapter 4

chapter05

Learn Microservices with Spring Boot 3 (3rd edition) - Chapter 5

course-dp100-azure-data-scientist-associate

Brian Roehm, DP-100, Azure Data Scientist Associate

coursera-applied-data-science-capstone

data-analysis-with-python

Analyzing data using Python

data-visualization-with-python

Data Visualization with Python

ds_code_challenge

Code challenge for prospective City of Cape Town Data Science candidates

election-scrapers

This repository contains a series of data scraping tools for state election websites.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

ibm_intro_spark

Spark’s primary abstraction is a distributed collection of items called a Resilient Distributed Dataset or RDD. In a subsequent lab exercise, you will learn more about the details of RDD. RDDs have actions, which return values, and transformations, which return pointers to new RDD. This set of labs uses Skills Network (SN) Labs to provide an interactive environment to develop applications and analyze data. It is available in either Scala or Python shells. Scala runs on the Java VM and is thus a good way to use existing Java libraries. In this lab exercise, we will set up our environment in preparation for the later labs. After completing this set of hands-on labs, you should be able to: 1. Perform basic RDD actions and transformations 2. Use caching to speed up repeated operations

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

jakarta-ee-application-development

, published by Packt

machine-learning-andrewng-deeplearning.ai

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

masakhane-web

Masakhane Web is a translation web application for solely African Languages.

mathematics-for-machine-learning-and-data-science-specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

mathematics-for-machine-learning-and-data-science-specialization-coursera

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

projects

python-for-data-science

Python for Data Science an a.I

sports-betting

Sports betting assistant (with interface) which optimizes earnings regarding odds and offers

sports-betting-ai

A website that utilizes a deep learning neural network to detect who will win NBA games

sports-betting2

Collection of sports betting AI tools.

stanford-machine-learning

Course XCS229i in Machine Learning from Stanford University

tensorflow-safari-course

⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.

windows-dev-docs

Conceptual and overview content for developing Windows apps