fgnz Goto Github PK

autocoding-class

From Labor Statistics Alexander Measure. See presentation on website.

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

computational-statistics-with-python

Resources for STA 633 class

covid19-literature-clustering

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.

d3-in-jupyter-notebook

data601

Introduction to Data Science

datascienceportfolio

Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges

datasheets

Read data from, write data to, and modify the formatting of Google Sheets

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

desktopassistant

Desktop assistant that uses speech recognition and gTTS to execute commands and talk back to the user.

dse210_probability_statistics_python

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

fake_news_detection

Fake News Detection in Python

fakenewsnet

This is a dataset for fake news detection research

fao-fbs-data-explorer

flask-d3-dashboard

An interactive dashboard built on Flask and D3.js

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

guidedlda

semi supervised guided topic model with custom guidedLDA

hands-on-machine-learning-with-microsoft-excel-2019

Hands-On Machine Learning with Microsoft Excel, published by Packt

hands-on-natural-language-processing-with-python

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.

iot-predictive-analytics

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.

lda

Topic modeling with latent Dirichlet allocation using Gibbs sampling

m00dbot

Telegram bot for self-testing of anxiety and depression

manim

Animation engine for explanatory math videos

missing-data-workshop

Matt Brems' Missing Data Workshop

mnist-machine-learning

Machine Learning MNIST Digits with a Neural Network in Excel

national-anthems-clustering

nlp-for-data-collectors

nlp-in-practice

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.

notebooks-statistics-and-machinelearning

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

pandastable

Table analysis in Tkinter using pandas DataFrames.