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cambodia-hazard-vulnerability-analysis-dashboard

This Power BI Dashboard project delivers vital insights from an NGO's yearly report, assessing community well-being and resilience in Cambodia from 2014 to 2019.

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

cover-agent

CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

data-engineering-zoomcamp

Data Engineering course!

data-warehouse-global-cyclistic-company

Global Cycling Company Data Warehouse! We gather data from AdventureWorks 2016, utilize tools like SSMS for efficient storage and retrieval, and employ ETL processes for seamless integration and analysis. 🚴‍♂️🛠️

demo-fraud

MLRun Fraud detection demo

dslp-repo-template

Template repository for data science lifecycle project

dvc

🦉 ML Experiments and Data Management with Git

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

llm-zoomcamp

LLM Zoomcamp - a free online course about building a Q&A system

llm-zoomcamp-project

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

mlbookcamp-code

The code from the Machine Learning Bookcamp book

mlops-zoomcamp

MLOps course from DataTalks.Club

mlops-zoomcamp-project

mojo

The Mojo Programming Language

nuclio

High-Performance Serverless event and data processing platform

project-of-the-week

Learn by doing: DIY project groups at DataTalks.Club

rust-mlops-template

A work in progress to build out solutions in Rust for MLOPs

telecom-customer-churn-analysis-prediction

Telecom Customer Churn Analysis & Prediction project uses Gradient Boosting for precise predictions, Power BI for churn pattern visualizations, and Streamlit for interactive insights. With robust code and meticulous data preprocessing, stakeholders access accurate predictions to optimize retention and drive profitability.