patternproject
Blog: https://data111blog.wordpress.com/ LinkedIN: https://www.linkedin.com/in/burhanulhaq/ Twitter: @patternproject
patternproject's Stars
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
open-guides/og-aws
📙 Amazon Web Services — a practical guide
JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Asabeneh/30-Days-Of-React
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
graphql/graphiql
GraphiQL & the GraphQL LSP Reference Ecosystem for building browser & IDE tools.
microsoft/IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
iam-veeramalla/aws-devops-zero-to-hero
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
hadley/r4ds
R for data science: a book
rmcelreath/stat_rethinking_2022
Statistical Rethinking course winter 2022
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
microsoft/powerapps-tools
Unsupported PowerApps Tools & Apps
LisaHJung/Beginners-Crash-Course-to-Elastic-Stack-Series-Table-of-Contents
google/lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
petedannemann/gis-programming-roadmap
One stop shop for all your GIS Programming needs
awslabs/ec2-spot-workshops
Collection of workshops to demonstrate best practices in using Amazon EC2 Spot Instances. https://aws.amazon.com/ec2/spot/
ESeufert/theseus_growth
Theseus is a Python library for cohort analysis
ajstarks/dubois-data-portraits
Recreations of W.E.B Dubois's Data Portraits
flyaflya/causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
rladiesnl/book_club
Agenda and materials for R-Ladies NL book-club
egnha/gestalt
Tidy Tools for Making and Combining Functions
sudomateo/terraform-training
Terraform training material.
undpindia/dicra
Data in Climate Resilient Agriculture (DiCRA) is a collaborative digital public good which provides open access to key geospatial datasets pertinent to climate resilient agriculture. These datasets are curated and validated through collaborative efforts of hundreds of data scientists and citizen scientists across the world.
gmineo/Financial-Forecasting-in-Python
ShlokKatare/Maven-Market-Analysis-PowerBI
Power BI Basic Queries, DAX and Visualizations for class assignment.