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Name: Thiyagarajan Palaniyappan
Type: User
Bio: Generative AI Architect
Twitter: plthiyagu
Location: San Francisco California
Name: Thiyagarajan Palaniyappan
Type: User
Bio: Generative AI Architect
Twitter: plthiyagu
Location: San Francisco California
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
A booklet on machine learning systems design with exercises
machine learning and deep learning tutorials, articles and other resources
Python codes for common Machine Learning Algorithms
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Coursera machine learning specialization coursework (python based, University of Washington).
A collection of machine learning examples and tutorials.
Code, exercises and tutorials of my personal blog ! 📝
Basic Machine Learning and Deep Learning
MachineLearningSamples-EnergyDemandTimeSeriesForecasting
Workshop
A chatbot developed in Python using Google Maps API
Mastering Kafka Streams GitBook
Notes about the internals of Spark SQL
React components for faster and easier web development. Build your own design system, or start with Material Design.
This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.
Examples for Modern Business Analytics
Mist. Browse and use Ðapps on the Ethereum network.
Machine Learning Projects and Learning Content
Exercise notebooks for Machine Learning modules on Microsoft Learn
Machine learning cheatsheet
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.