devalnaik Goto Github PK
Name: Deval
Type: User
Bio: AI /ML, Big Data, Business Intelligence, Data Warehouse, Process Mining, Data Mining
Name: Deval
Type: User
Bio: AI /ML, Big Data, Business Intelligence, Data Warehouse, Process Mining, Data Mining
Automated Machine Learning with Microsoft Azure, published by Packt
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Config files for my GitHub profile.
Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure
The world's simplest facial recognition api for Python and the command line
Trained models for the face_recognition python library
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A high performance implementation of HDBSCAN clustering.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
Deep Learning UDF for KSQL, the Streaming SQL Engine for Apache Kafka with Elasticsearch Sink Example
Deep Learning UDF for KSQL for Streaming Anomaly Detection of MQTT IoT Sensor Data
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Lab files for AI-900: Azure AI Fundamentals
Lab files for Azure Machine Learning exercises
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Geospatial Raster support for Spark DataFrames
Neural Network for generating structured queries from natural language.
Technical Analysis Library using Pandas and Numpy
Tensorflow tutorial from basic to hard
A large annotated semantic parsing corpus for developing natural language interfaces.
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.