tools for collecting, compressing, and using a space-efficient columnar data format based on a document model (bson) and designed for timeseries data.
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Updated
Dec 4, 2020 - Go
tools for collecting, compressing, and using a space-efficient columnar data format based on a document model (bson) and designed for timeseries data.
Get boundaries between recent timeframes
A backend-for-frontend REST API which gathers and serves prometheus metrics from other services.
High-level lib for reading and writing physiological data into mef file format using python wrapper pymef for meflib.
Apply SARIMA model to predict the numbers of tourist visiting Brazil in the future 12 months
An EncoderTransformer Architecture developed from scratch using pytorch's neural network module as the base class. The developed model used for sentiment analysis and time series prediction tasks.
Capstone project for Galvanize Data Science Immersive Program
Revision Analysis Tool initiated by Eurostat
Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.
Predicting Monthly Sales of Perrin Freres Champagne by ARIMA & SARIMAX model.
Import and export data into/from InfluxDB.
A custom CMS, built on CodeIgnitor3, for tracking energy generation and consumption in an off-grid house.
This is a time series project that seeks to predict sales of the Favourita company.
example of a take-home data science problem. Covering pandas, time series, handing null values, and building a classification model
EDA performed on timeseries data and different plots to get insights from data visualizations
Time series data forecasting
This is our final project for Data Science and Applications Course
Experiment to record as much data as possible in a given amount of time using a distributed timeseries database.
Forecasting_Airline_Passengers_Seats
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