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From Labor Statistics Alexander Measure. See presentation on website.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
Resources for STA 633 class
Let's cluster similar research articles together to make it easier for health professionals to find relevant research articles, and responde to rapidly spreading COVID-19 promptly.
Introduction to Data Science
Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges
Read data from, write data to, and modify the formatting of Google Sheets
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
Desktop assistant that uses speech recognition and gTTS to execute commands and talk back to the user.
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
Fake News Detection in Python
This is a dataset for fake news detection research
An interactive dashboard built on Flask and D3.js
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
semi supervised guided topic model with custom guidedLDA
Hands-On Machine Learning with Microsoft Excel, published by Packt
This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like Robot arms, Process monitoring and Control equipment etc., collect and transmit data on a continuous basis which is Time stamped.
Topic modeling with latent Dirichlet allocation using Gibbs sampling
Telegram bot for self-testing of anxiety and depression
Animation engine for explanatory math videos
Matt Brems' Missing Data Workshop
Machine Learning MNIST Digits with a Neural Network in Excel
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Table analysis in Tkinter using pandas DataFrames.
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.