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40-algorithms-every-programmer-should-know

40 Algorithms Every Programmer Should Know, published by Packt

analyzing-visualizing-data-excel

awesome-aws-workshops

Unofficial curated list of awesome workshops found around in the internet. As we all have been there, finding that workshop that you have just attended shouldn't be hard. The idea is to provide an easy central repository, in a collaborative way.

aws-data-lake-solution

A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, search, share, and govern specific subsets of data across a business or with other external businesses.

beymani

Hadoop, Spark and Storm based outlier analysis implementations for data quality, cyber security, fraud detection

chatgptclass

ChatGPT and GitHub Copilot Quick Start

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-downtime-challenge

Data Quality course from Oreilly!!

data-science-books

dataprofiler

What's in your data? Extract schema, statistics and entities from datasets

datascience_jan5th

The Data Scientist’s Toolbox

datasciencecoursera

Personal Data Science Coursera Course Reposity

datasharing

The Leek group guide to data sharing

deeplearning.ai

There are all deeplearning.ai assigniment of Andrew Ng in coursera

dl-nlp-readings

My Reading Lists of Deep Learning and Natural Language Processing

ds2022

ComprehensiveDataSciencePython2022

edureka

effectivepython

Effective Python: Source Code and Errata for the Book

friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

getting-started

Tutorial for creating an account on IBM's Data Science Experience, explore the community and create a project

h20_learning

My coursera H20 Learning Journey

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

h2o-tutorials

Tutorials and training material for the H2O Machine Learning Platform

h2o-world-2014-training

training material

h4cker

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.

hadoopinternals

Several diagrams describing Apache Hadoop internals (2.3.0 or later).

kylo

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on Apache Hadoop and Spark. Kylo is licensed under Apache 2.0 and contributed by Think Big, A Teradata Company

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mastering-python-scripting-for-system-administrators-

Mastering Python Scripting for System Administrators, published by Packt

mulemeterial