GitHub topics: seasonality-analysis
nutimes/afg-amn-admit
Feature insights into Afghanistan's acute malnutrition admission data
Language: R - Size: 1.68 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
iskandergaba/pyriodicity
Pyriodicity provides an intuitive and efficient Python implementation of periodicity length detection methods in univariate signals.
Language: Python - Size: 1.88 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 7 - Forks: 1
nutimes/som-sam-admit
Feature insights into Somalia's severe acute malnutrition admission data
Language: R - Size: 18.5 MB - Last synced at: 12 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0
zhaokg/Rbeast
Bayesian Change-Point Detection and Time Series Decomposition
Language: C - Size: 28.1 MB - Last synced at: 23 days ago - Pushed at: 9 months ago - Stars: 311 - Forks: 47
NineFR09/Microorganisms-10020338---Diatom-Biogeography-across-Australian-Coastal-Waters
To explore diatom community structure dynamic and distribution over time (8years) around Australian coastal water (IMOS NRS station) and to identify abiotic (e.i. temperature, nutrients.. etc) and biotic (bacteria) factor that influence them. This was through analysis of 18S and 16S rRNA data available form the Australaian Microbiome Initiative.
Size: 209 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
SermetPekin/eseas-repo
eseas is a Python package that acts as a wrapper for the jwsacruncher Java package. This tool allows users to process Demetra workspace XML files, create batch files, execute them, and collect the desired outputs into individual Excel files.
Language: Python - Size: 254 KB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
nataliabeltranarg/TimeSeriesForecasting-GlovoOrders
Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.
Language: Jupyter Notebook - Size: 9.26 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
DavideDevetak24/Steel_Market_Study_DL
The repository presents the notebooks and models used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
jodiambra/Sweet-Lift-Taxi-Time-Series-Predictions
Time series modeling to predict fares for Sweet Lift Taxi Company. Predictions will be used to allocate drivers for peak hours.
Language: Jupyter Notebook - Size: 7.9 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
paocarvajal1912/Forecasting_Net_Prophet
Time series analysis showing trend, seasonality, and periodicity decomposition; and forecasting using Facebook Prophet. The analysis makes extensive use of indexing data tools and of the Pandas and Datetime libraries.
Language: Jupyter Notebook - Size: 19 MB - Last synced at: 8 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
saikrishnabudi/Forecasting
Data Science - Forecasting
Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
VikramBansall/Bitcoin-Trading-Volume-Forecasting
Uncover hidden patterns and relationships within Bitcoin trading volume using rigorous time series techniques. Develop a robust forecasting model capable of accurately predicting future volume levels.
Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Kommandat/seasonality-fourier-analysis
Analyzing seasonality with Fourier transforms
Language: Jupyter Notebook - Size: 547 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 13
mingyuan9/Ecommerce-Analysis-Project
The object of this project is to analyze website data with over 30,000 users and more than 1,188,124 pageviews to evaluate website performance and to understand product level performance. I use conversion funnel analysis to understand customer behavior in order to improve website traffic via different channels.
Size: 311 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
LisaLi525/Retail-Customer-Segmentation-Profile
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
Language: R - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
luizamfsantos/Mauna-Loa-CO2-Analysis
Examined 60 years of Mauna Loa CO2 data, utilizing Python, Jupyter, and essential libraries for preprocessing and advanced modeling, revealing key atmospheric trends.
Language: Python - Size: 431 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Annaqin0929/Timeserial-Forecasting
Time Serial Methods and Forecasting (RegARIMA and ARMAX)
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
nsb700/time-series-forecasting
Time Series Forecasting
Language: Jupyter Notebook - Size: 447 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
007tickooayush/car-sales
Forecasting the car sales time series dataset which is populated with a factor of seasonality in the dataset and the action of forecasting is performed using prophet library in python.
Language: Jupyter Notebook - Size: 150 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
TARUNABANSALA/stockprice_analysis
😲🤑Method for Investors and Traders to make Buying and Selling Decisions. 😄Fundamental Market Analysis is about using Real data to evaluate a Stock's Value📊 📈 📉
Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
bala-1409/Milk-Production-Time-Series-Forecasting-Datascience-Project
This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.
Language: Jupyter Notebook - Size: 6.28 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
AuroraLiu3230/Natural-Gas-Price-Analysis-and-Extrapolation
This project aims to analyze monthly natural gas price data and provide estimates for the purchase price of gas at any given date in the past or extrapolate it for one year into the future.
Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
MoinDalvs/Forecasting_Airline_Passengers_Traffic
Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1
VladOnMyOwn/ForecastingWithRandPython
Financial time series forecasting using R
Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
