Found 120,687 repositories(showing 30)
drivendataorg
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
KalyanM45
This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.
veb-101
Collection of data science projects in Python
mrsaeeddev
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
krishnaik06
No description available
sajal2692
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
deepfence
⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐
alexattia
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
durgeshsamariya
Data Science and Machine Learning projects with source code.
dataquestio
Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .
tkarim45
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
tuangauss
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
CodeCutTech
Template for a data science project
TrainingByPackt
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
youssefHosni
A curated list of data science & AI guided projects to start building your portfolio
achuthasubhash
Complete-Life-Cycle-of-a-Data-Science-Project
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
datalumina
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
mdipietro09
Examples of Data Science projects and Artificial Intelligence use-cases
SUKHMAN-SINGH-1612
Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.
thuijskens
A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.
Niketkumardheeryan
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
xLaszlo
Collection of articles listing reasons why data science projects fail.
ElizaLo
Projects and awesome list for all Data Science fields
miguelfzafra
Master in Data Science Final Project
bioconvert
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
aaryansamanta
Portfolio of capstone projects from AI & Technology Honors, Data Science Honors, and AI Internship Honors. Showcases advanced Python work: CNN pneumonia detection on chest X-rays (>90% accuracy), healthcare EDA on disease symptoms/patient profiles — built as a 10th grader with dual USACO perfects & IEEE/IJHSR publications.
robsalgado
No description available
microsoft
Visual Studio Tools for AI is a free Visual Studio extension to build, test, and deploy deep learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.