IndustryMachine

Accommodation & Food

Food

• RobotChef - Refining recipes based on user reviews.

• Food Amenities - Predicting the demand for food amenities using neural networks

• Recipe Cuisine and Rating - Predict the rating and type of cuisine from a list of ingredients.

• Food Classification - Classification using Keras.

• Image to Recipe - Translate an image to a recipe using deep learning.

• Calorie Estimation - Estimate calories from photos of food.

• Fine Food Reviews - Sentiment analysis on Amazon Fine Food Reviews. Restaurant

• Restaurant Violation - Food inspection violation forecasting.

• Restaurant Success - Predict whether a restaurant is going to fail.

• Predict Michelin - Predict the likelihood that restaurant is a Michelin restaurant.

• Restaurant Inspection - An inspection analysis to see if cleanliness is related to rating.

• Sales - Restaurant sales forecasting with LSTM.

• Visitor Forecasting - Reservation and visitation number prediction.

• Restaurant Profit - Restaurant regression analysis.

• Competition - Restaurant competitiveness analysis.

• Business Analysis - Restaurant business analysis project.

• Location Recommendation - Restaurant location recommendation tool and analysis.

• Closure, Rating and Recommendation - Three prediction tasks using Yelp data.

• Anti-recommender - Find restaurants you don’t want to attend.

• Menu Analysis - Deeper analysis of restaurants through their menus.

• Menu Recommendation - NLP to recommend restaurants with similar menus.

• Food Price - Predict food cost.

• Automated Restaurant Report - Automated machine learning company report.

Accommodation

• Peer-to-Peer Housing - The effect of peer to peer rentals on housing.
• Roommate Recommendation - A system for students seeking roommates.
• Room Allocation - Room allocation process.
• Dynamic Pricing - Hotel dynamic pricing calculations.
• Hotel Similarity - Compare brands that directly compete
• Hotel Reviews - Cluster hotel reviews.
• Predict Prices - Predict hotel room rates.
• Hotels vs Airbnb - Comparing the two approaches.
• Hotel Improvement - Analyse reviews to suggest hotel improvements.
• Orders - Order cancellation prediction for hotels.
• Fake Reviews - Identify whether reviews are fake/spam.
• Reverse Image Lodging - Find your preferred lodging by uploading an image.

Accounting

Machine Learning

• Chart of Account Prediction - Using labeled data to suggest the account name for every transaction.
• Accounting Anomalies - Using deep-learning frameworks to identify accounting anomalies.
• Financial Statement Anomalies - Detecting anomalies before filing, using R.
• Useful Life Prediction (FirmAI) - Predict the useful life of assets using sensor observations and feature engineering.
• AI Applied to XBRL - Standardized representation of XBRL into AI and Machine learning.

Analytics

• Forensic Accounting - Collection of case studies on forensic accounting using data analysis. On the lookout for more data to practise forensic accounting, please get in touch
• General Ledger (FirmAI) - Data processing over a general ledger as exported through an accounting system.
• Bullet Graph (FirmAI) - Bullet graph visualisation helpful for tracking sales, commission and other performance.
• Aged Debtors (FirmAI) - Example analysis to invetigate aged debtors.
• Automated FS XBRL - XML Language, however, possibly port analysis into Python.

Textual Analysis

• Financial Sentiment Analysis - Sentiment, distance and proportion analysis for trading signals.
• Extensive NLP - Comprehensive NLP techniques for accounting research.

Data, Parsing and APIs

• EDGAR - A walk-through in how to obtain EDGAR data.
• PyEDGAR - A library for downloading, caching, and accessing EDGAR filings.
• IRS - Acessing and parsing IRS filings.
• Financial Corporate - Rutgers corporate financial datasets.
• Non-financial Corporate - Rutgers non-financial corporate dataset.
• PDF Parsing - Extracting useful data from PDF documents.
• PDF Tabel to Excel - How to output an excel file from a PDF.

Research And Articles

• Understanding Accounting Analytics - An article that tackles the importance of accounting analytics.
• VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox.

Websites

• Rutgers Raw - Good digital accounting research from Rutgers.

Courses

• Computer Augmented Accounting - A video series from Rutgers University looking at the use of computation to improve accounting.
• Accounting in a Digital Era - Another series by Rutgers investigating the effects the digital age will have on accounting.

Agriculture

Economics

• Prices - Agricultural price prediction.
• Prices 2 - Agricultural price prediction.
• Yield - Agricultural analysis looking at crop yields in Ukraine.
• Recovery - Strategic land use for agriculture and ecosystem recovery
• MPR - Mandatory Price Reporting data from the USDA’s Agricultural Marketing Service.

Development

• Segmentation - Agricultural field parcel segmentation using satellite images.
• Water Table - Predicting water table depth in agricultural areas.
• Assistant - Notebooks from agricultural assistant.
• Eco-evolutionary - Eco-evolutionary dynamics.
• Diseases - Identification of crop diseases and pests using Deep Learning framework from the images.
• Irrigation and Pest Prediction - Analyse irrigation and predict pest likelihood.

Banking & Insurance

Consumer Finance

• Loan Acceptance - Classification and time-series analysis for loan acceptance.
• Predict Loan Repayment - Predict whether a loan will be repaid using automated feature engineering.
• Loan Eligibility Ranking - System to help the banks check if a customer is eligible for a given loan.
• Home Credit Default (FirmAI) - Predict home credit default.
• Mortgage Analytics - Extensive mortgage loan analytics.
• Credit Approval - A system for credit card approval.
• Loan Risk - Predictive model to help to reduce charge-offs and losses of loans.
• Amortisation Schedule (FirmAI) - Simple amortisation schedule in python for personal use.

Management and Operation

• Credit Card - Estimate the CLV of credit card customers.
• Survival Analysis - Perform a survival analysis of customers.
• Next Transaction - Deep learning model to predict the transaction amount and days to next transaction.
• Credit Card Churn - Predicting credit card customer churn.
• Bank of England Minutes - Textual analysis over bank minutes.
• CEO - Analysis of CEO compensation.

Valuation

• Zillow Prediction - Zillow valuation prediction as performed on Kaggle.
• Real Estate - Predicting real estate prices from the urban environment.
• Used Car - Used vehicle price prediction.

Fraud

• XGBoost - Fraud Detection by tuning XGBoost hyper-parameters with Simulated Annealing
• Fraud Detection Loan in R - Fraud detection in bank loans.
• AML Finance Due Diligence - Search news articles to do finance AML DD.
• Credit Card Fraud - Detecting credit card fraud.

Insurance and Risk

• Car Damage Detective - Assessing car damage with convolution neural networks for a personal auto claims.
• Medical Insurance Claims - Predicting medical insurance claims.
• Claim Denial - Predicting insurance claim denial
• Claim Fraud - Predictive models to determine which automobile claims are fraudulent.
• Claims Anomalies - Anomaly detection system for medical insurance claims data.
• Actuarial Sciences (R) - A range of actuarial tools in R.
• Bank Failure - Predicting bank failure.
• Risk Management - Finance risk engagement course resources.
• VaR GaN - Estimate Value-at-Risk for market risk management using Keras and TensorFlow.
• Compliance - Bank Grievance Compliance Management.
• Stress Testing - ECB stress testing.
• Stress Testing Techniques - A notebook with various stress testing exercises.
• Reverse Stress Test - Given a portfolio and a predefined loss size, determine which factors stress (scenarios) would lead to that loss
• BoE stress test- Stress test results and plotting.
• Recovery - Recovery of money owed.
• Quality Control - Quality control for banking using LDA

Physical

• Bank Note Fraud Detection - Bank Note Authentication Using DNN Tensorflow Classifier and RandomForest.
• ATM Surveillance - ATM Surveillance in banks use case.

Biotechnological & Life Sciences

General

• Programming - Python Programming for Biologists
• Introduction DL - A Primer on Deep Learning in Genomics
• Pose - Estimating animal poses using DL.
• Privacy - Privacy preserving NNs for clinical data sharing.
• Population Genetics - DL for population genetic inference.
• Bioinformatics Course - Course materials for Computational Biologyand Bioinformatics
• Applied Stats - Applied Statistics for High-Throughput Biology
• Scripts - Python scripts for biologists.
• Molecular NN - A mini-framework to build and train neural networks for molecular biology.
• Systems Biology Simulations - Systems biology practical on writing simulators with F# and Z3
• Cell Movement - LSTM to predict biological cell movement.
• Deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Sequencing

• DNA, RNA and Protein Sequencing - Anew representation for biological sequences using DL.
• CNN Sequencing - A toolbox for learning motifs from DNA/RNA sequence data using convolutional neural networks
• NLP Sequencing - Language transfer learning model for genomics

Chemoinformatics and drug discovery

• Novel Molecules - A convolutional net that can learn features.
• Automating Chemical Design - Generate new molecules for efficient exploration.
• GAN drug Discovery - A method that combines generative models with reinforcement learning.
• RL - generating compounds predicted to be active against a biological target.
• One-shot learning - Python library that aims to make the use of machine-learning in drug discovery straightforward and convenient.

Genomics

• Jupyter Genomics - Collection of computation biology and bioinformatics notebooks.
• Variant calling - Correctly identify variations from the reference genome in an individual’s DNA.
• Gene Expression Graphs - Using convolutions on an image.
• Autoencoding Expression - Extracting relevant patterns from large sets of gene expression data
• Gene Expression Inference - Predict the expression of specified target genes from a panel of about 1,000 pre-selected “landmark genes”.
• Plant Genomics - Presentation and example material for Plant and Pathogen Genomics

Life-sciences

• Plants Disease - App that detects diseases in plants using a deep learning model.
• Leaf Identification - Identification of plants through plant leaves on the basis of their shape, color and texture.
• Crop Analysis - An imaging library to detect and track future position of ears on maize plants
• Seedlings - Plant Seedlings Classification from kaggle competition
• Plant Stress - An ontology containing plant stresses; biotic and abiotic.
• Animal Hierarchy - Package for calculating animal dominance hierarchies.
• Animal Identification - Deep learning for animal identification.
• Species - Big Data analysis of different species of animals
• Animal Vocalisations - A generative network for animal vocalizations
• Evolutionary - Evolution Strategies Tool
• Glaciers - Educational material about glaciers.

Construction & Engineering

Construction

• DL Architecture - Deep learning classifier and image generator for building architecture.
• Construction Materials - A course on construction materials.
• Bad Actor Risk Model - Risk model to improve construction related building safety
• Inspectors - Determine the assigned inspections.
• Corrupt Social Interactions - Uncover potential corrupt social interactions between an industry member and the staff at the DOB
• Risk Construction - Identify high risk construction.
• Facade Risk - A risk model to predict unsafe facades.
• Staff Levels - Predicting staff levels for front line workers.
• Injuries - Building related injuries topic modelling.
• Building Violations - Predictive analysis of building violations.
• Productivity - Productivity analysis and inspection with Tableau.

Engineering:

• Structural Analysis - 2D Structural Analysis in Python.
• Structural Engineering - Structural engineering modules.
• Nusa - Structural analysis using the finite element method.
• StructPy - Structural Analysis Library for Python based on the direct stiffness method
• Aileron - Structural analysis of the aileron of a Boeing 737
• Vibration - Educational vibration programs.
• Civil - Collection of civil engineering tools in FreeCAD
• GEstimator - Simple civil estimation software
• Fatpack - Functions and classes for fatigue analysis of data series.
• Pysteel - Automated design of different steel structure
• Structural Uncertainty - Quantifying structural uncertainty with deep learning.
• Pymech - A Python module for mechanical engineers
• Aerospace Engineering - Astrodynamics and Statistics
• Interactive Quantum Chemistry - Combining Psi4 and Numpy for education and development.
• Chemical and Process Engineering - Various resources.
• PyTherm - Applied Thermodynamics
• Aerogami - Aerodynamics using planes.
• Electro geophysics - Interactive applications for electromagnetics in geophysics
• Graph Signal - Graph signal processing tutorial.
• Mechanical Vibrations - Mechanical Vibrations at the Univsersity of Louisiana.
• Process Dynamics - Process Dynamics and Control
• Battery Life Cycle - Data driven prediction of batter life cycle.
• Wind Energy - Python for wind energy
• Energy Use - Standard methods for calculating normalized metered energy consumption
• Nuclear Radiation - How people are affected by radiations emitted by nuclear power plants

Material Science

• Python Materials Genomics - Robust material analysis code used in a well-established project.
• Materials Mining - Scripts for simulations and analysis of materials.
• Emmet - Build databases of material properties.
• Megnet - Graph networks as a ML framework for Molecules and Crystals
• Atomate - Pre-built workflows for computational material science.
• Bylaws Compliance - Predicting property fines.
• Asphalt Binder - Construction materials, free energy and chemical composition of asphalt binder.
• Steel - Optimisation of steel.
• Awesome Materials Informatics - Curated list of known efforts in materials informatics.

Economics

General

• Trading Economics API - Information for 196 countries.
• Development Economics - Development microeconomics are written mostly as interactive jupyter notebooks
• Applied Econ & Fin - Applied Computational Economics and Finance
• Macroeconomics - Topics in macroeconomics with notebook examples.

Machine Learning

• EconML - Automated Learning and Intelligence for Causation and Economics.
• Auctions - Optimal auctions using deep learning.

Computational

• Quant Econ - Quantitative economics course by NYU
• Computational - Computational methods in economics.
• Computational 2 - Small course in computational economics.
• Econometric Theory - Notebooks of A Primer on Econometric theory.

Education & Research

Student

• Student Performance - Mining student performance using machine learning.
• Student Performance 2 - Student exam performance.
• Student Performance 3 - Student achievement in secondary education.
• Student Performance 4 - Students Performance Evaluation using Feature Engineering
• Student Intervention - Building a student intervention system.
• Student Enrolment - Student enrolment and performance analysis.
• Academic Performance - Explore the demographic and family features that have an impact a student’s academic performance.
• Grade Analysis - Student achievement analysis.

School

• School Choice - Data analysis for education’s school choice.
• School Budgets and Priorities - Helping the school board and mayor make strategic decisions regarding future school budgets and priorities
• School Performance - Data analysis practice using data from data.utah.gov on school performance.
• School Performance 2 - Using pandas to analyze school and student performance within a district
• School Performance 3 - Philadelphia School Performance
• School Performance 4 - NJ School Performance
• School Closure - Identify schools at risk for closure by performance and other characteristics.
• School Budgets - Tools and techniques for school budgeting.
• School Budgets - Same as a above, datacamp.
• PyCity - School analysis.
• PyCity 2 - School budget vs school results.
• Budget NLP - NLP classification for budget resources.
• Budget NLP 2 - Further classification exercise.
• Budget NLP 3 - Budget classification.
• Survey Analysis - Education survey analysis.

Emergency & Police

Preventative and Reactive

• Emergency Mapping - Detection of destroyed houses in California
• Emergency Room - Supporting emergency room decision making
• Emergency Readmission - Adjusted Risk of Emergency Readmission.
• Forest Fire - Forest fire detection through UAV imagery using CNNs
• Emergency Response - Emergency response analysis.
• Emergency Transportation - Transportation prompt on emergency services
• Emergency Dispatch - Reducing response times with predictive modeling, optimization, and automation
• Emergency Calls - Emergency calls analysis project.
• Calls Data Analysis - 911 data analysis.
• Emergency Response - Chemical factory RL.

Crime

• Crime Classification - Times analysis of serious assaults misclassified by LAPD.
• Article Tagging - Natural Language Processing of Chicago news article
• Crime Analysis - Association Rule Mining from Spatial Data for Crime Analysis
• Chicago Crimes - Exploring public Chicago crimes data set in Python
• Graph Analytics - The Hague Crimes.
• Crime Prediction - Crime classification, analysis & prediction in Indore city.
• Crime Prediction - Developed predictive models for crime rate.
• Crime Review - Crime review data analysis.
• Crime Trends - The Crime Trends Analysis Tool analyses crime trends and surfaces problematic crime conditions
• Crime Analytics - Analysis of crime data in Seattle and San Francisco.

Ambulance:

• Ambulance Analysis - An investigation of Local Government Area ambulance time variation in Victoria.
• Site Location - Ambulance site locations.
• Dispatching - Applying game theory and discrete event simulation to find optimal solution for ambulance dispatching
• Ambulance Allocation - Time series analysis of ambulance dispatches in the City of San Diego.
• Response Time - An analysis on the improvements of ambulance response time.
• Optimal Routing - Project to find optimal routing of ambulances in Ithaca.
• Crash Analysis - Predicting the probability of accidents on a given segment on a given time.

Disaster Management

• Conflict Prediction - Notebooks on conflict prediction.
• Burglary Prediction - Spatio-Temporal Modelling for burglary prediction.
• Predicting Disease Outbreak - Machine Learning implementation based on multiple classifier algorithm implementations.
• Road accident prediction - Prediction on type of victims on federal road accidents in Brazil.
• Text Mining - Disaster Management using Text mining.
• Twitter and disasters - Try to correctly predict whether tweets that are about disasters.
• Flood Risk - Impact of catastrophic flood events.
• Fire Prediction - We used 4 different algorithms to predict the likelihood of future fires.

Finance

Trading and Investment

• For more see financial-machine-learning
• For asset management see financial-machine-learning
• Deep Portfolio - Deep learning for finance Predict volume of bonds.
• AI Trading - Modern AI trading techniques.
• Corporate Bonds - Predicting the buying and selling volume of the corporate bonds.
• Simulation - Investigating simulations as part of computational finance.
• Industry Clustering - Project to cluster industries according to financial attributes.
• Financial Modeling - HFT trading and implied volatility modeling.
• Trend Following - A futures trend following portfolio investment strategy.
• Financial Statement Sentiment - Extracting sentiment from financial statements using neural networks.
• Applied Corporate Finance - Studies the empirical behaviors in stock market.
• Market Crash Prediction - Predicting market crashes using an LPPL model.
• NLP Finance Papers - Curating quantitative finance papers using machine learning.
• ARIMA-LTSM Hybrid - Hybrid model to predict future price correlation coefficients of two assets
• Basic Investments - Basic investment tools in python.
• Basic Derivatives - Basic forward contracts and hedging.
• Basic Finance - Source code notebooks basic finance applications.
• Advanced Pricing ML - Additional implementation of Advances in Financial Machine Learning (Book)
• Options and Regression - Financial engineering project for option pricing techniques.
• Quant Notebooks - Educational notebooks on quant finance, algorithmic trading and investment strategy.
• Forecasting Challenge - Financial forecasting challenge by G-Research (Hedge Fund)
• XGboost - A trading algorithm using XgBoost
• Research Paper Trading - A strategy implementation based on a paper using Alpaca Markets.
• Various - Options, Allocation, Simulation
• ML & RL NYU - Machine Learning and Reinforcement Learning in Finance.

Data

• Datastream - Datastrem from Thomson Reuters accessible through Python.
• AlphaVantage - API wrapper to simplify the process of acquiring free financial data.
• FSA- A project to transfer SEC Edgar Filings’ financial data to custom financial statement analysis models.
• TradeConnector - A layer to connect with market data providers.
• Employee Count SEC Filings - Extraction to get the exact employee count values for companies from SEC filings.
• SEC Parsing - NLP to find and extract specific information from long, unstructured documents
• Open Edgar - OpenEDGAR (openedgar.io)
• Rating Industries - Histories from multiple agencies converted to CSV format

Personal Papers

• Financial Machine Learning Regulation
• Predicting Restaurant Facility Closures
• Predicting Corporate Bankruptcies
• Predicting Earnings Surprises
• Machine Learning in Asset Management

Healthcare

General

• zEpid - Epidemiology analysis package.
• Python For Epidemiologists - Tutorial to introduce epidemiology analysis in Python.
• Prescription Compliance - An analysis of prescription and medical compliance
• Respiratory Disease - Tracking respiratory diseases in Olympic athletes
• Bubonic Plague - Bubonic plague and SIR model.

Justics, Law & Regulations

Tools

• LexPredict - Software package and library.
• AI Para-legal - Lobe is the world’s first AI paralegal.
• Legal Entity Detection - NER For Legal Documents.
• Legal Case Summarisation - Implementation of different summarisation algorithms applied to legal case judgements.
• Legal Documents Google Scholar - Using Google scholar to extract cases programatically.
• Chat Bot - Chat-bot and email notifications.
• Congress API - ProPublica congress API access.
• Data Generator GDPR - Dummy data generator for GDPR compliance
• Blackstone - spaCy pipeline and model for NLP on unstructured legal text.

Policy and Regulatory

• GDPR scores - Predicting GDPR Scores for Legal Documents.
• Driving Factors FINRA - Identify the driving factors that influence the FINRA arbitration decisions.
• Securities Bias Correction - Bias-Corrected Estimation of Price Impact in Securities Litigation.
• Public Firm to Legal Decision - Embed public firms based on their reaction to legal decisions.
• Night Life Regulation - Australian nightlife and its regulation and policing
• Comments - Public comments on government regulations.
• Clustering - Clustering Canadian regulations.
• Environment - Regulation of Energy and the Environment
• Risk - Systematic risk of various financial regulations.
• FINRA Compliance - Topic modelling on compliance.

Judicial Applied

• Supreme Court Prediction - Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model.
• Supreme Court Topic Modeling - Multiple steps necessary to implement topic modeling on supreme court decisions.
• Judge Opinion - Using text mining and machine learning to analyze judges’ opinions for a particular concern.
• ML Law Matching - A machine learning law match maker.
• Bert Multi-label Classification - Fine Grained Sentiment Analysis from AI.
• Some Computational AI Course - Video series Law MIT.
• Financial Machine Learning Regulation (Paper)

Manufacturing

General

• Green Manufacturing - Mercedes-Benz Greener Manufacturing competition on Kaggle.
• Semiconductor Manufacturing - Semicondutor manufacturing process line data analysis.
• Smart Manufacturing - Shared work of a modelling Methodology.
• Bosch Manufacturing - Bosch manufacturing project, Kaggle.

Maintenance

• Predictive Maintenance 1 - Predict remaining useful life of aircraft engines
• Predictive Maintenance 2 - Time-To-Failure (TTF) or Remaining Useful Life (RUL)
• Manufacturing Maintenance - Simulation of maintenance in manufacturing systems.

Failure

• Predictive Analytics - Method for Predicting failures in Equipment using Sensor data.
• Detecting Defects - Anomaly detection for defective semiconductors
• Defect Detection - Smart defect detection for pill manufacturing.
• Manufacturing Failures - Reducing manufacturing failures.
• Manufacturing Anomalies - Intelligent anomaly detection for manufacturing line.

Quality

• Quality Control - Bosh failure of quality control.
• Manufacturing Quality - Intelligent Manufacturing Quality Forecast
• Auto Manufacturing - Regression Case Study Project on Manufacturing Auction Sale Data.

Media & Publishing

Marketing

• Video Popularity - HIP model for predicting the popularity of videos.
• YouTube transcriber - Automatically transcribe YouTube videos.
• Marketing Analytics - Marketing analytics case studies.
• Algorithmic Marketing - Models from Introduction to Algorithmic Marketing book
• Marketing Scripts - Marketing data science applications.
• Social Mining - Mining the social web.

Miscellaneous

Art

• Painting Forensics - Analysing paintings to find out their year of creation.

Tourism

• Flickr - Metadata mining tool for tourism research.
• Fashion - A clothing retrieval and visual recommendation model for fashion images

Physics

General

• Gamma-hadron Reconstruction - Tools used in Gamma-ray ground based astronomy.
• Curriculum - Newtonian notebooks.
• Interaction Networks - Interaction Networks for Learning about Objects, Relations and Physics.
• Particle Physics - Training, generation, and analysis code for learning Particle Physics
• Computational Physics - A computational physics repository.
• Medical Physics - Useful python for medical physics.
• Medical Physics 2 - A common, core Python package for Medical Physics
• Flow Physics - Flow Physics and Aeroacoustics Toolbox with Python

Machine Learning

• Physics ML and Stats - Machine learning and statistics for physicists
• High Energy - Machine Learning for High Energy Physics.
• High Energy GAN - Generative Adversarial Networks for High Energy Physics.
• Neural Networks - Physics meets neural networks

Government and Public Works

Social Policies

• Triage - General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems.
• World Bank Poverty I - A comparative assessment of machine learning classification algorithms applied to poverty prediction.
• World Bank Poverty II - Repository for the World Bank Pover-t Test Competition Solution Overseas Company Land Ownership .
• Overseas Company Land Ownership - Identifying foreign ownership in the UK.
• CFPB - Consumer Finances Protection Bureau complaints analysis.
• Cannabis Legalisation Effect - Effects of cannabis legalization on crime.
• Public Credit Card - Identification of potential fraud for council credit cards. Data
• Recidivism Prediction - Transparency and audibility to recidivism risk assessment
• Household Poverty - Predict poverty in households in Costa Rica.
• NLP Public Policy - An example of an NLP use-case in public policy.
• World Food Production - Comparing Top food and feed Producers around the globe.
• Tax Inequality - Data project around taxation and inequality in Basel Stadt.
• Sheriff Compliance - Compliance to ICE requests.
• Apps Detection - Suspicious app detection for kids.
• Social Assistance - Trending information on social assistance
• Computational Social Science - Social data science summer school course.
• Liquor and Crime - Effect of liquor licenses issued on the crime rate.
• Animal Placement Kennels - Optimising animal placement in shelters.
• Staffing Wall - Independent exploration project on U.S. Mexican Border wall
• Worker Fatalities - Worker Fatalities and Catastrophes Map from OSHA data

Charities

• Census Data API - Pull variables from the 5-year American Community Survey.
• Philantropic Giving - Work done by numerous DataKind volunteers on harnessing Form 990 data
• Charity Recommender - NYC Charity Collaborative Recommender System on an Implicit DataSet.
• Donor Identification - A machine learning project in which we need to find donors for charity.
• US Charities - Charity exploration and machine learning.
• Charity Effectiveness - Scraping online data about charities to understand effectiveness

Election Analysis

• Election Analysis - Election Analysis and Prediction Models
• American Election Causal - Using ANES data with causal inference models.
• Campaign Finance and Election Results - Investigating the relation between campaign finance and subsequent election results.
• Voting System - Proportional representation voting methods.
• President Vote - Vote by income level analysis..

Politics

• Congressional politics - House and senate congressional partisanship.
• Politico - A platform for profiling public figures in Brazilian politics.
• Bots - Tools and algorithms to analyze Paraguayan Tweets in times of election
• Gerrymander tests - Lots of metrics for quantifying gerrymandering.
• Sentiment - Analyse newspapers with respect to their political conviction using entity sentiments of party representatives.
• DL Politics - Prediction of Spanish Political Affinity with Deep Neural Nets: Socialist vs People’s Party
• PAC Money - Effects of PAC money on US politics.
• Power Networks - Constructing a watchdog for Indian corporate and political networks
• Elite - Political elite in the US.
• Debate Analysis - Program to analyze political debates.
• Political Affiliation - Political affiliation prediction using twitter metadata.
• Political Ads - Investigation into Facebook Political Ads and Targeting
• Political Identity - Multi-axial political model.
• YT Politics - Mapping Politics on YouTube
• Political Ideology - Unsupervised learning of political ideology by word vector projections

Real Estate, Rental & Leasing

Real Estate

• Finding Donuts - Finding real estate opportunities by predicting transforming neighbourhoods.
• Neighbourhood - Predicting real estate prices from the urban environment.
• Real Estate Classification - Classifying the type of property given Real Estate, satellite and Street view Images
• Recommender - This tools aims to recommend a user the top 5 real estate properties that matches their search.
• House Price - Predicting house prices using Linear Regression and GBR
• House Price Portland - Predict housing prices in Portland.
• Zillow Prediction - Zillow valuation prediction as performed on Kaggle.
• Real Estate - Predicting real estate prices from the urban environment.

Rental & Leasing

• Analysing Rentals - Analyzing and visualizing rental listings data.
• Interest Prediction - Predict people interest in renting specific NYC apartments.
• Housing Uni vs Non-Uni - The effect on university lodging after the GFC.
• Predict Household Poverty - Predict the poverty of households in Costa Rica using automated feature engineering.
• Airbnb public analytics competition: - Now strategic management.

Utilities

Electricity

• Electricity Price - Electricity price comparison Singapore.
• Electricity-Coal Correlation - Determining the correlation between state electricity rates and coal generation over the past decade.
• Electricity Capacity - A Los Angeles Times analysis of California’s costly power glut.
• Electricity Systems - Optimal Wind+Hydrogen+Other+Battery+Solar (WHOBS) electricity systems for European countries.
• Load Disaggregation - Smart meter load disaggregation with Hidden Markov Models
• Price Forecasting - Forecasting Day-Ahead electricity prices in the German bidding zone with deep neural networks.
• Carbon Index - Calculation of electricity CO₂ intensity at national, state, and NERC regions from 2001-present.
• Demand Forecasting - Electricity demand forecasting for Austin.
• Electricity Consumption - Estimating Electricity Consumption from Household Surveys
• Household power consumption - Individual household power consumption LSTM.
• Electricity French Distribution - An analysis of electricity data provided by the French Distribution Network (RTE)
• Renewable Power Plants - Time series of cumulated installed capacity.
• Wind Farm Flow - A repository of wind plant flow models connected to FUSED-Wind.
• Power Plant - The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011).

Coal, Oil & Gas

• Coal Phase Out - Generation adequacy issues with Germany’s coal phaseout.
• Coal Prediction - Predicting coal production.
• Oil & Gas - Oil & Natural Gas price prediction using ARIMA & Neural Networks
• Gas Formula - Calculating potential economic effect of price indexation formula.
• Demand Prediction - Natural gas demand prediction.
• Consumption Forecasting - Natural gas consumption forecasting.
• Gas Trade - World Model for Natural Gas Trade.

Water & Pollution

• Safe Water - Predict health-based drinking water violations in the United States.
• Hydrology Data - A suite of convenience functions for exploring water data in Python.
• Water Observatory - Monitoring water levels of lakes and reservoirs using satellite imagery.
• Water Pipelines - Using machine learning to find water pipelines in aerial images.
• Water Modelling - Australian Water Resource Assessment (AWRA) Community Modelling System.
• Drought Restrictions - A Los Angeles Times analysis of water usage after the state eased drought restrictions
• Flood Prediction - Applying LSTM on river water level data
• Sewage Overflow - Insights into the sanitary sewage overflow (SSO). - This has been removed
• Water Accounting - Assembles water budget data for the US from existing data source
• Air Quality Prediction - Predict air quality(aq) in Beijing and London in the next 48 hours.

Transportation

• Transdim - Creating accurate and efficient solutions for the spatio-temporal traffic data imputation and prediction tasks.
• Transport Recommendation - Context-Aware Multi-Modal Transportation Recommendation
• Transport Data - Data and notebooks for Toronto transport.
• Transport Demand - Predicting demand for public transportation in Nairobi.
• Demand Estimation - Implementation of dynamic origin-destination demand estimation.
• Congestion Analysis - Transportation systems analysis
• TS Analysis - Time series analysis on transportation data.
• Network Graph Subway - Vulnerability analysis for transportation networks. - Have been taken down
• Transportation Inefficiencies - Quantifying the inefficiencies of Transportation Networks
• Train Optimisation - Train schedule optimisation
• Traffic Prediction - multi attention recurrent neural networks for time-series (city traffic)
• Predict Crashes - Crash prediction modelling application that leverages multiple data sources
• AI Supply chain - Supply chain optimisation system.
• Transfer Learning Flight Delay - Using variation encoders in Keras to predict flight delay.
• Replenishment - Retail replenishment code for supply chain management.

Wholesale & Retail

Wholesale

• Customer Analysis - Wholesale customer analysis.
• Distribution - JB wholesale distribution analysis.
• Clustering - Unsupervised learning techniques are applied on product spending data collected for customers
• Market Basket Analysis - Instacart public dataset to report which products are often shopped together.

Retail

• Retail Analysis - Studying Online Retail Dataset and getting insights from it.
• Online Insights - Analyzing the Online Transactions in UK
• Retail Use-case - Notebooks & Data for CyberShop Retail Use Case
• Dwell Time - Customer dwell time and other analysis.
• Retail Cohort - Cohort analysis.

From

• industry-machine-learning