ml-solutions Goto Github PK
Type: Organization
Type: Organization
Artificial Intelligence for Humans
Source of data = https://www.kaggle.com/snap/amazon-fine-food-reviews
https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git
Repository for my Kaggle Solution to the Avito competition
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
My Solutions to Programming Assignments of Artificial Intelligence, Machine Learning and Digital Image Processing
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
Tutorials and code samples for integrating with MissingLink
Data Science Learning week with UpGrad.com - using Python, NumPy, Pandas and other libraries.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.
A reinforcement learning bot for the Halite III programming competition https://halite.io/
Multi-label logistic regression model with feature hashing and adaptive learning rate.
A library for transfer learning by reusing parts of TensorFlow models.
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Solutions to exercises from the book "Introduction to Statistical Learning"
A searchable compilation of Kaggle past solutions
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
R code for the assignments of Coursera machine learning course
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Introduction to Machine learning with Python, 4h interactive workshop
Machine Learning Problem Bible | Problem Set Here >>
MNIST handwritten digits clustering using a Bernoulli Mixture Model and a Gaussian Mixture Model
Open Source ML Model Versioning, Metadata, and Experiment Management
Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference
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.