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Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Image augmentation library in Python for machine learning.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Building Machine Learning Projects with TensorFlow by Packt
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Visualizations for machine learning datasets
Feature selector is a tool for dimensionality reduction of machine learning datasets
Repository for few-shot learning machine learning projects
Hands-On Maching Learning with Scikit-Learn & TensorFlow
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Book about interpretable machine learning
Machine Learning Modelling with Python and Scikit-Learn. An end-to-end Scikit-Learn worfklow Getting the data ready Choosing the right maching learning estimator/aglorithm/model for your problem Fitting your chosen machine learning model to data and using it to make a prediction Evaluting a machine learning model Improving predictions through experimentation (hyperparameter tuning) Saving and loading a pretrained model Putting it all together in a pipeline
Notebooks and code for the book "Introduction to Machine Learning with Python"
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.
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
TCC - PUC - MUNICÍPIOS BRASILEIROS E A LEI DE RESPONSABILIDADE FISCAL – ANÁLISE COM MODELOS DE MACHINE LEARNING
Code & Data for Introduction to Machine Learning with Scikit-Learn
A complete daily plan for studying to become a machine learning engineer.
My path of getting into maching learning with Python (scikit, keras, then tensorflow)
Udacity's Machine Learning Nanodegree project files and notes.
Stanford Machine Learning course exercises implemented with scikit-learn
Monthly Series - Machine Learning Top 10 Open Source Projects
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!
Machine Learning Experiments and Work
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.