reefmajumder's Stars
MoienTajik/AspNetCore-Developer-Roadmap
Roadmap to becoming an ASP.NET Core developer in 2024
startup-class/setup
AWS EC2 setup files for Startup Engineering MOOC.
eddwebster/football_analytics
đź“Šâš˝ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
uhussain/WebCrawlerForOnlineInflation
Price Crawler - Tracking Price Inflation
andkret/Cookbook
The Data Engineering Cookbook
datastacktv/data-engineer-roadmap
Roadmap to becoming a data engineer in 2021
Guilherme-B/manifold
Manifold is a plug-and-play end-to-end real estate asset tracker, from web scraping to ETL (data warehouse) using Python, Go, Apache Airflow/Spark, AWS EMR/Redshift/S3
jklen/scrape
Real estate web scraper and a Python Dash app
shafiab/HashtagCashtag
My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
matiasmascioto/awesome-soccer-analytics
:soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.
eugeneyan/applied-ml
đź“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
dennislamcv1/GeneralElectricVI
General Electric Digital Technology Data Analytics Program at The Forage
cytadela8/trypophobia
Trypophobia images detector based on deep neural networks and utilities
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
Diganta13/Image-segmentation-by-UNet-Algorithm
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
niconielsen32/ComputerVision