| gboeing/ppde642 |
1,244 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| USC urban data science course series with Python and Jupyter |
| Chicago/food-inspections-evaluation |
281 |
|
0 |
0 |
almost 7 years ago |
0 |
|
7 |
other |
HTML |
| This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions. |
| tirthajyoti/pydbgen |
199 |
|
0 |
1 |
almost 5 years ago |
3 |
March 11, 2018 |
4 |
mit |
Python |
| Random dataframe and database table generator |
| geoinsights/ChinaAQIData |
46 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
Python |
| 中国城市AQI数据(AQI Data of Cities in China) |
| mratsim/McKinsey-SmartCities-Traffic-Prediction |
38 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge |
| ammsa/DTCleaner |
37 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
|
Java |
| DTCleaner: data cleaning using multi-target decision trees. |
| akshitvjain/restaurant-finder-featureReviews |
19 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| Build a Flask web application to help users retrieve key restaurant information and feature-based reviews (generated by applying market-basket model – Apriori algorithm and NLP on user reviews). |
| My-Machine-Learning-Projects/Global-Temperature-Change-Prediction |
17 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A Data Science project that uses an ARIMA model for Time Series Forecasting, to predict the temperature of any given city across a specific time period. |
| garaud/jitenshea |
17 |
|
0 |
0 |
about 5 years ago |
0 |
|
9 |
mit |
Python |
| Bicycle-sharing data analysis |
| dssg/syracuse_public |
16 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
other |
Python |
