orlandott / Predictive_Policing
☆13Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Predictive_Policing
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- Pyspark in Google Colab: A simple machine learning (Linear Regression) model☆36Updated 5 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…☆29Updated 2 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…☆44Updated 6 years ago
- An analysis of traffic accident data for the UK in 2014, using data from the UK Data Service. (Sourced from Kaggle with original data com…☆12Updated 6 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆40Updated 3 years ago
- Anomaly detection system for medical insurance claims data☆14Updated 7 years ago
- Examples of how Python can speed up tasks that are cumbersome in Excel☆13Updated 8 years ago
- MLinProduction SageMaker workshop hosted in April 2020☆15Updated 4 years ago
- Work for Mastering Large Datasets with Python☆18Updated last year
- Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas☆15Updated 7 years ago
- Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling☆22Updated 6 years ago
- ☆25Updated 7 years ago
- Spark NLP for Streamlit☆15Updated 3 years ago
- ☆22Updated last year
- LSTM for time series forecasting☆28Updated 7 years ago
- Predict whether or not a patient will show up to their next appointment using automated feature engineering☆29Updated 4 years ago
- PySpark, Databrick, h2o, MLlib☆18Updated 8 years ago
- ☆33Updated last year
- Winners of the Power Laws forecasting competition☆60Updated last year
- An R/Shiny app for time-series segmentation and changepoint detection tasks.☆17Updated 4 years ago
- Material for UW Extension Data Science 350☆19Updated 6 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 7 years ago
- [Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis☆13Updated 7 years ago
- Predict taxi trip duration based on historical trips using automated feature engineering☆60Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆55Updated 2 years ago