Found 14,778 repositories(showing 30)
sajal2692
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
youssefHosni
A curated list of data science & AI guided projects to start building your portfolio
evanca
[DISCONTINUED] Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
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.
The full collection of all codes for my Youtube Channel segregated as per topic.
KevinLiao159
Applying Data Science and Machine Learning to Solve Real World Business Problems
Erlemar
Data science portfolio
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.
dawnxchoo
Every resource & guidance you need to build your Data Science & Analytics portfolio
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
archd3sai
This Portfolio is a compilation of all the Data Science and Data Analysis projects I have done for academic, self-learning and hobby purposes. This portfolio is updated on the regular basis.
juniorcl
A data science project to predict whether a transaction is a fraud or not.
rodrigo-arenas
Personal website, Data scientist portfolio template
alexhuang1117
A Portfolio of my Data Science Projects
natnew
100 Python Projects
Data science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.
ShawhinT
Example data science portfolio
TatevKaren
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Iqrar99
Portfolio of data science and data analyst projects completed by me for academic, self learning, and hobby purposes.
karinnecristina
Portfólio com análises e projetos de Data Science em Python
carlosfab
Template para portfólio de Data Science
timlrx
My portfolio built with Tailwind CSS, Nextjs and MDX. A collection of musings, learnings and projects touching data science, analytics, web development and more 🔥
boudrejp
A collection of selected data science projects to demonstrate skill sets, knowledge, and what I find interesting
melvfnz
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Deffro
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
MaartenGr
Data Science Portfolio
faizns
This documentation is like a quick snapshot of my project in the data field, showing off my skills and know-how in this area.
lowinertia
How do you stand out and get hired in today's market as an engineer? A strong portfolio demonstrates your technical skills and problem-solving in ways a traditional resume can not. Here, Lowinertia provides engineers all the tools needed to get started!
TatevKaren
Data Science Portfolio of Tatev Karen Aslanyan including Case Studies and Research Projects that I have completed that solve business problems or introduce new products. Case Study papers, codes, and additional resources are all included.
Mortiniera
Data Science Portfolio completed both in the academia and for self-learning.