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roadmap to applied ai
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
A prototype developed by me to collect the real-time data of the different types of pollution gases present in the air and analyzing and visualizing them and doing certain predictions.
This is Andrew NG Coursera Handwritten Notes.
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
Dynamic Data-set preparation for audio, video, images
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Notebooks related to Bayesian methods for machine learning
Classification of Environment Sound using CNN and ImageDataGenerator
Dask tutorial
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
DataCamp data-science courses
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A collection of various deep learning architectures, models, and tips
Deep face recognition with Keras, Dlib and OpenCV
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.
Notebooks from IBM Advanced Data Science Specialization on Coursera
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Learning Materials related to Anomaly Detection and Predictive Maintenance Course
My online shared notebook for Machine Learning notes
Machine learning for beginner(Data Science enthusiast)
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.