hmlanden / TrafikiPy

Related projects ⓘ

Alternatives and complementary repositories for TrafikiPy

• gshahane / Vehicular-Crash-Prediction-using-Machine-Learning
  Crash Prediction Project for INFM750 Data to Insights
  ☆8Updated 7 years ago
• orlandott / Predictive_Policing
  ☆13Updated 6 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆32Updated 2 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• parulnith / Analysing-Machine-Learning-Models-with-Yellowbrick
  Yellowbrick is an open source, Python project that extends the scikit-learn API with visual analysis and diagnostic tools
  ☆13Updated 5 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• piyush121 / NYC-Weather-vs-Taxi-analysis
  [Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis
  ☆13Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 5 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• mihirk11 / Movie-recommendation-system-using-Bayesian-Network
  Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie
  ☆11Updated 8 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• drivendataorg / power-laws-anomalies
  ☆33Updated last year
• drivendataorg / power-laws-forecasting
  Winners of the Power Laws forecasting competition
  ☆60Updated last year
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 5 years ago
• chrisPiemonte / crime-analysis
  Association Rule Mining from Spatial Data for Crime Analysis
  ☆36Updated 5 years ago
• rajat5ranjan / AV-Quantum-Black-Data-Engineering-Hackathon
  Quantum Black Hackathon organised by Analytics Vidya
  ☆12Updated 5 years ago
• Lemma1 / DPFE
  Implementation of dynamic origin-destination demand estimation
  ☆19Updated 6 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• dwilson1988 / azure-utah-accidents-prediction
  Azure Machine Learning Service for car accidents prediction
  ☆30Updated 5 years ago
• dorairajsanjay / hmm_tutorial
  HMM Tutorial
  ☆12Updated 6 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆28Updated 7 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆21Updated last year
• VadimSokolov / dl-traffic
  Code for the "Deep Learning for Short-Term Traffic Flow Prediction" paper (https://arxiv.org/abs/1604.04527)
  ☆11Updated 7 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆23Updated last year
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆33Updated 7 years ago
• alyssaq / timeseries
  Time series analytics with Python
  ☆17Updated 8 years ago