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Jupyter notebooks for "Computers, Waves, Simulations"
This Note book is my reference for different steps required to prepare data to be ready for ML. It is an ongoing project and I am gradually structuring my old records and new learning here.
In the Project , you'll find a data set containing real messages that were sent during disaster events. You will be creating a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. The projects includes a web app where an emergency worker can input a new message and get classification results in several categories. The web app will also display visualizations of the data.
Default configuration for Le Wagon's students
interactive-python-dashboards-with-plotly-and-dash
HTML Preview for GitHub Repositories
In this notebook I will be implementing ICA method to resolve a signal to its constituent components. As a geophysicist it can be very interesting practice.
Pandas essentials – a quick tutorial for data science beginners
This is the Capstone project for PDE program
This webpage is a case example of data science dashboard that we intended to develop it further, but it got to a point that we decided to make it open source, for learning purposes.
In this repository I have stored my workflow for natural language processing using Gradient Boosting, Random Forest, Naive Bayes and Grid Search functionalities in sklearn. I used normal approach and pipeline and used featured union in the pipeline.
This project is part of a YouTube series where I address handling images in DjangoRestFramework, creating git repository and git hub and then serving it using Digital Ocean, Nginx and Gunicorn.
This repository will find stocks simmilar to the provided symbol and compare them
This is the platform for analyzing stocks
In this project I am doing some data analytics on Huge Stock Market Dataset in Kaggle, containing more than 7000 stock files.
This Project is the final project for Data Scientist Udacity nano degree
I am officially taking Udacity Data Scientist nano-degree and I decided to summarize the projects that I am doing here. Projects 1,2 and 3 are part of the Machine Learning Engineering Nano degree that I did not take the course and only did the projects.
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.