This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
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Fast and convenient feature processing for low latency machine learning in Go.
A research project exploring the role of machine learning in the process of creating art and music.
A delightful machine learning tool that allows you to train/fit, test and use models without writing code.
A toolkit to help understand models and enable responsible machine learning.
Autograd and XLA for high-performance machine learning research.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
Build, train, and ship custom machine learning models using an easy visual interface.
Machine Learning library for the web, Node.js and developers.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A platform for deploying and serving machine learning models.
All-in-one web-based IDE specialized for machine learning and data science.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
A library consisting of useful tools for data science and machine learning tasks.
ModelFox is a platform for managing and deploying machine learning models.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
A general statistics and machine learning library.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
Enables single machine or distributed training and evaluation of deep learning models.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.