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Name: Jeffrey Wang
Type: User
Company: [email protected]
Bio: Data scientist with a background in engineering, data analytics, database management, ChatGPT implementation, and LLM development.
Name: Jeffrey Wang
Type: User
Company: [email protected]
Bio: Data scientist with a background in engineering, data analytics, database management, ChatGPT implementation, and LLM development.
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Source Code for 'Advanced Data Analytics Using Python' by Sayan Mukhopadhyay
Assignments of Machine Learning in Python
Created data regression models to predict 15 unknown variables within 4% error at any plant condition. Denoised 11000 x 115 dataset, leading to 70% improvement in prediction accuracy. Used data engineering to produce features that were relevant to the target variables. Produced confusion matrices to determine relevant features for machine learning. Final prediction horizon of four times dataset timescale to within 5% error
storing script test of paddleocr for airflow docker paddleocr architecture
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Coding for testing Prophet time series forecasting for stock.
Engineered and backtested strategies using a variety of indicators and custom features. Optimized buy/sell conditions through custom optimization algorithm. Discovered most significant features through machine learning. Created Heroku app to maintain code during downtime. Implemented a portfolio manager that automatically handles, scales, and visualizes financial gains and losses. Current design yields an SQN of 8.9-9.2.
Example code repository
Open source code for AlphaFold.
This is a repository for implementing data requisition for algotrading using Alphavantage standard API for intraday data and implementing said data into a trading script through the Alpaca Broker.
Provided actionable insights to maximize sales of specific undersupplied merchandise. Created data features to specify unmet demand and oversupply. Determined exact times of seasonality to maximize profits by targeted advertisements. Cleaned unstable data to correctly visualize realistic sales data. Pinpointed specific models and categories of merchandise for production and cancellation. Estimated dropship quantity to assist in maintaining available stock of specific models on Amazon.
This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
📚 Papers of companies sharing their work on applied data science & machine learning.
Source Code for 'Applied Reinforcement Learning with Python' by Taweh Beysolow
Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖
Curated list of open source tooling for data-centric AI on unstructured data.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Notebooks about Bayesian methods for machine learning
Proof-of-concept code for Bayesian Episodic Control
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.