⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

The library, ReactJS, that gives you the power to control your GitHub data, your projects on the portfolio / website, in your own GitHub in one place!

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

A curated list of data science & AI guided projects to start building your portfolio

This repository contains my Data Analytics portfolio projects ranging from SQL, Python, Tableau, Excel, and Hadoop (HiveQL).

AI-native CLI for the Longbridge trading platform with real-time market data, portfolio, and trading...

[DISCONTINUED] Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

Applying Data Science and Machine Learning to Solve Real World Business Problems

Data science portfolio

This portfolio showcasing dynamic GitHub stats, Medium blog posts, and professional experience. Built with ES6+, lit-html, and CSS3, integrates data from GitHub and Medium for real-time content.

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.

End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.

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.

Investment portfolio and stocks analyzing tools for Python with free historical data

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

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.

Backtester for evaluating options and equity portfolio strategies over historical data. Includes tools for strategy sweeps, tail-risk hedge analysis, and signal-based timing research.

wxStocks: Write your own screens, ranking functions, and even high level analysis algorithms to help you review portfolio. Newest release allow SEC XBRL data and more or import your own data by writing your own custom importers. wxStocks is currently in python 3 with a ZODB database.

Personal website, Data scientist portfolio template

This is a template you can use for your next data engineering portfolio project.

A Portfolio of my Data Science Projects

Data Analyst portfolio project that deals with business KPIs, cleaning and transforming data and visualizing it to create a dashboard. The tools used are: SQL Server, T-SQL, Excel and Power BI.

This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.

The Python Mega Course is one of the top online Python courses with over 100,000 enrolled students and is targeted toward people with little or no previous programming experience. The course follows a modern-teaching approach where students learn by doing. You will start Python from scratch by first creating simple programs. Once you learn the basics you will then be guided on how to create 10 real-world complex applications in Python 3 through easy video explanations and support by the course instructor. Some of the applications you will build during the course are database web apps, desktop apps, web scraping scripts, webcam object detectors, web maps, and more. These programs are not only great examples to master Python, you can also use any of them as a portfolio once you have built them. By buying the course you will gain lifetime access to all its videos, coding exercises, quizzes, code notebooks, and the Q&A inside the course where you can ask your questions and get an answer the same day. On top of that you are covered by the Udemy 30-day money back guarantee, so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first two sections, you will learn Python basics such as functions, loops, and conditionals. If you already know the basics, then the first two sections can serve as a refresher. The other 22 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to make professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning Python today! What you’ll learn Go from a total beginner to an advanced-Python programmer Create 10 real-world Python programs (no useless programs) Solidify your skills with bonus practice activities throughout the course Create an app that translates English words Create a web-mapping app Create a portfolio website Create a desktop app for storing book information Create a webcam video app that detects objects Create a web scraper Create a data visualization app Create a database app Create a geocoding web app Create a website blocker Send automated emails Analyze and visualize data Use Python to schedule programs based on computer events. Learn OOP (Object-Oriented Programming) Learn GUIs (Graphical-User Interfaces) Are there any course requirements or prerequisites? A computer (Windows, Mac, or Linux). No prior knowledge of Python is required. No previous programming experience needed. Who this course is for: Those with no prior knowledge of Python. Those who know Python basics and want to master Python

Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.

The only developer portfolio template you'll ever need with modern UI/UX. Import data straight from LinkedIn to get started! ⚡️

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.