Alternatives and similar repositories for Kaggle-Demand-Forecasting-Models:

Users that are interested in Kaggle-Demand-Forecasting-Models are comparing it to the libraries listed below

• pourya-ir / Medium
  ☆49Updated 5 years ago
• Geo-Joy / Deep-Learning-for-Time-Series-Forecasting
  This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete an…
  ☆141Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆100Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆26Updated 5 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆75Updated 6 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆57Updated 2 years ago
• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆77Updated last year
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆27Updated 6 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆108Updated 5 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆27Updated 6 years ago
• elena-sharova / IsolationForest
  testing scikit-learn Isolation Forest
  ☆76Updated 6 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 7 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆140Updated 6 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• hanhanwu / Hanhan_Data_Science_Practice
  data analysis, big data development, cloud, and any other cool things!
  ☆30Updated 6 months ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 6 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated last year
• dacatay / time-series-analysis
  Presentation for time series analysis
  ☆45Updated 7 years ago