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Name: Tom Adwards
Type: User
Bio: My name is Tom. I am a student who really enjoys this Treasure community. I hope to learn more knowledge here.
Name: Tom Adwards
Type: User
Bio: My name is Tom. I am a student who really enjoys this Treasure community. I hope to learn more knowledge here.
Set of tools to combine multiple power plant databases
The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping
Python-LMDI: A tool for the index decomposition analysis
Python Data Science Handbook: full text in Jupyter Notebooks
Rmarkdown of my tutorials for R in Bilibili
Algorithm recurrence of a paper, It can simulate cascading faults in interdependent networks and has customized key parameters
Index number decomposition analysis (IDA) is a popular tool to analyse the drivers of energy and environmental indicators. Its popularity stems from the ability to disentangle different contributions of underlying factors on an aggregate measure. As such, a large body of research has developed and refined the methods. In recent times the Logarithmic Mean Divisia Index (LMDI) methods have become the preferred method for implementing index number decomposition. The ST-IDA method is an integrated approach capturing spatial and temporal differences simultaneously. This method provides direct linkages between spatial units and temporal movements. This package implements these approaches in R. Installation. If devtools is not installed already then you will need to install devtools. # if not present, install 'devtools' package install.packages("devtools") devtools::install_github("sp-latrobe/STIDA-LMDI-package") Notes This package comes with ABSOLUTELY NO WARRANTY. Queries to [email protected]
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。
《把时间当作朋友》
The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.
Repository with my project submission for Nanodegrees (MLND, DLND, AITND)
Your new Mentor for Data Science E-Learning.
All course materials for the Zero to Mastery Machine Learning and Data Science course.
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.