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imm_enkf_traffic_estimation_incident_detection

This repository contains supporting codes for the paper “Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection.”. Please see readme for more details on how to run the codes.

intro-to-text-analytics

introduction to text analytics in python training for odsc west 2018

javaessentialtraining2019

Exercise files for LinkedIn Learning's course Java Essential Training

javascript-essential-training-2832077

This repository is for the Linkedin Learning course: JavaScript Essential Training

kaggle-pcancer

learning-django-2825501

Learning Django (REVISION)

learning-mongodb-2835008

Learning MongoDB

learning-r

Project for learning R

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

machine-learning

Machine Learning Practice, Useful Code Snippets, useful tips, etc.

machine-learning-product-recommender-system-on-amazon-dataset-with-a-sentiment-analysis-model-base

mapbox-sdk-py

Python SDK for Mapbox APIs

marketing-campaign-promotion-data-analytics-project

marketing-cloud-python-sdk

Access the Marketing Cloud APIs via Python

mining-the-social-web

The official online compendium for Mining the Social Web (O'Reilly, 2011)

mining-the-social-web-3rd-edition

The official online compendium for Mining the Social Web, 3rd Edition (O'Reilly, 2018)

ml-end-to-end

Bare minimum End-to-End ML application with Flask REST API Prediction Service

ml-from-scratch

ML Algorithm implementation from scratch for practice

models

Models and examples built with TensorFlow

neural_prophet

NeuralProphet - a Neural Network based Time-Series model

nlp-in-python-tutorial

comparing stand up comedians using natural language processing

nlp_workshop

An introductory workshop to NLP with R

nyctaxi

INFO 290 Data Mining Final Project

omniture_py

Python SDK For The Omniture SiteCatalyst API

pipeline_base

Infrastructure code to support DNA pipeline

plotly.py

The interactive graphing library for Python (includes Plotly Express) :sparkles:

predict-correct-answer

Predict whether a student will correctly answer a problem based on past performance using automated feature engineering

predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

predict-next-purchase

Predict what a customer will buy next based on purchase history using automated feature engineering

predict-remaining-useful-life

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering