dineshgit Goto Github PK
Name: Dinesh Muniandy
Type: User
Bio: Senior Data Scientist
Location: London
Name: Dinesh Muniandy
Type: User
Bio: Senior Data Scientist
Location: London
Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Artificial Intelligence projects, documentation and code.
Code I have written for tutorials in order to learn Python.
Learning about and practicing with autoencoders.
Automated feature engineering in Python with feature tools
Code for a tutorial on Bayesian Statistics by Allen Downey.
A Bokeh project developed for learning and teaching Bokeh interactive plotting!
All Resources and Projects for the Coursera Deep Learning Specialization
Home for all Coursera Machine Learning Resources and Projects
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!
Data Analysis Using Python
Data Science for Good Projects
code for Data Science From Scratch book
Following along with the course at https://simoninithomas.github.io/Deep_reinforcement_learning_Course/#syllabus
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Experimenting with various methods for dimenion reduction
Deep Learning with TensorFlow, Keras, and PyTorch
Materials and projects for EECS 491 AI: Probablistic Graphical Models
My Galvanize Capstone project- feature importance to help understand electricity conservation of school buildings
Data Visualization Application created for Hack CWRU V
Features selection algorithm based on self selected algorithm, loss function and validation method
Feature selector is a tool for dimensionality reduction of machine learning datasets
This repository contains the IPython Notebooks on feature extraction prepared for the "Introduction to Feature Extraction Techniques" workshop
An R package to assess feature importance
Code for global and local feature importance
Data science with Home-assistant
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
Jupyter notebooks for the Julia Scientific Programming course on Coursera
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.