Alternatives and similar repositories for Time-Series-EDA-and-Forecast

Users that are interested in Time-Series-EDA-and-Forecast are comparing it to the libraries listed below

• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆59Updated 7 years ago
• krishnaik06 / ARIMA-And-Seasonal-ARIMA
  ☆220Updated 3 years ago
• ROHANNAIK / Sales-Prediction
  In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…
  ☆113Updated 7 years ago
• Pradnya1208 / Time-series-forecasting-using-Deep-Learning
  The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
  ☆36Updated 3 years ago
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆326Updated 6 years ago
• mollyryanruby / sales_forecasting
  5 machine learning techniques to forecast product sales
  ☆142Updated 2 years ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  ☆126Updated 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…
  ☆139Updated 6 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆31Updated 5 years ago
• lxu213 / arima-forecasting
  Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot
  ☆32Updated 7 years ago
• agrawal-priyank / machine-learning-regression
  Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…
  ☆93Updated last year
• archd3sai / Customer-Survival-Analysis-and-Churn-Prediction
  In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…
  ☆228Updated 3 years ago
• ajitsingh98 / Time-Series-Analysis-and-Forecasting-with-Python
  Time Series Analysis and Forecasting in Python
  ☆194Updated last year
• ashishpatel26 / Market-Basket-Analysis
  Association rule mining is a technique to identify underlying relations between different items.
  ☆68Updated 6 years ago
• amirrezaeian / Individual-household-electric-power-consumption-Data-Set-
  Individual household electric-power consumption Data Set (LSTM) [tutorial]
  ☆88Updated 7 years ago
• akshitvjain / product-sales-forecasting
  Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…
  ☆62Updated 5 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆331Updated 11 months ago
• fernandodecastilla / Machine-Learning-for-Predictive-Maintenance
  Anomaly detection and failure prognosis applied to industrial machines
  ☆29Updated 6 years ago
• nachi-hebbar / Time-Series-Forecasting-LSTM
  Time series forecasting using LSTM in Python
  ☆100Updated last year
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 4 years ago
• shadgriffin / machine_failure
  ☆69Updated 3 years ago
• Swastik-25 / Imbalanced-Data-with-SMOTE-Techniques
  This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…
  ☆47Updated 5 years ago
• vikrantarora25 / Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
  A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…
  ☆33Updated 5 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆26Updated 7 months ago
• aimlnerd / Deploy-machine-learning-model
  Dockerize and deploy machine learning model as REST API using Flask
  ☆78Updated 2 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆135Updated 7 years ago
• Samimust / predictive-maintenance
  Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
  ☆272Updated last year
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆182Updated 10 months ago