#
forecasting-models
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List of papers, code and experiments using deep learning for time series forecasting
deep-neural-networks
deep-learning
time-series
tensorflow
prediction
python3
pytorch
recurrent-neural-networks
lstm
series-analysis
forecasting-models
lstm-neural-networks
demand-forecasting
series-forecasting
sales-forecasting
time-series-classification
time-series-prediction
time-series-forecasting
series-classification
forecasting-competitions
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Updated
May 13, 2021 - Jupyter Notebook
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
python
machine-learning
time-series
econometrics
forecasting
arima
forecasting-models
sarimax
pmdarima
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Updated
Jul 6, 2021 - Python
A toolkit for working with time series in R
machine-learning
data-mining
time
timeseries
time-series
dplyr
tidyverse
forecast
forecasting
tidy
coercion
forecasting-models
tibble
tidyquant
coercion-functions
series-decomposition
series-signature
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Updated
Jun 28, 2021 - R
AtsPy: Automated Time Series Models in Python (by @firmai)
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Updated
May 21, 2021 - Python
An open source library for Fuzzy Time Series in Python
python
data-science
time-series
series
fuzzy-rules
econometrics
forecasting
interval
fts
fuzzy-sets
forecasting-models
time-series-analysis
time-series-forecasting
fuzzy-systems
fuzzy-time-series
probabilistic-forecasting
series-models
fuzzy-sets-syst
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Updated
May 14, 2021 - Python
Extending broom for time series forecasting
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Updated
Jul 10, 2020 - R
QGIS toolkit 🧰 for pre- and post-processing 🔨 , visualizing 🔍 , and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀
python
weather
simulation
gis
urban-planning
air-quality
netcdf
qgis-plugin
scientific-computing
meteorology
atmospheric-modelling
grib
plotting
scientific-computations
wps
atmospheric-science
academia
forecasting-models
nwp
wrf
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Updated
Feb 2, 2021 - Python
Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
aviation
machine-learning
deep-learning
time-series
recurrent-neural-networks
neural-networks
forecasting
arima
forecasting-models
time-series-prediction
time-series-forecasting
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Updated
Jan 24, 2018 - Jupyter Notebook
MSGARCH R Package
finance
r
time-series
arch
risk
econometrics
forecasting
variance
volatility
garch
forecasting-models
gjr-garch
egarch
tgarch
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Updated
Apr 20, 2020 - R
Real-time time series prediction library with standalone server
timeseries
forecasting
forecasting-models
time-series-analysis
time-series-forecast
exponential-smoothing
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Updated
Jun 7, 2021 - Java
Jupyter Notebooks Collection for Learning Time Series Models
python
finance
machine-learning
timeseries
time-series
trading
tutorials
forecasting
quant
quantitative-finance
arima
algorithmic-trading
quantitative-trading
forecasting-models
tutorial-code
arima-model
timeseries-analysis
notebook-jupyter
sarima
forecasting-algorithm
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Updated
Nov 3, 2019 - Jupyter Notebook
Python based Quant Finance Models, Tools and Algorithmic Decision Making
python
keras
mpt
lstm-model
market-data
simulations
portfolio-optimization
quantitative-finance
algorithmic-trading
backtesting-trading-strategies
quantitative-trading
forecasting-models
timeseries-analysis
portfolio-allocation
markowitz-portfolio
quant-finance-models
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Updated
Nov 27, 2017 - Python
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
python
machine-learning
time-series
forecasting
forecasting-models
fbprophet
forecasting-model
streamlit-dashboard
steamlit
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Updated
May 27, 2020 - Python
The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.
python
data-science
time-series
analysis
jupyter-notebook
data-visualization
forecasting
modelling
forecasting-models
time-series-analysis
anomaly-detection
holt-winters
triple-exponential-smoothing
seasonality
exponential-smoothing-models
brutlag
holt-winters-forecasting
brutlag-algorithm
holt-winter-model
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Updated
Jun 4, 2021 - Jupyter Notebook
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
neural-networks
forecasting
rnn
lightgbm
adaboost
fibonacci-series
prophet
forecasting-models
ema
rsi
time-series-analysis
facebook-prophet-forecasting
time-series-prediction
macd
relative-strength-index
time-series-forecasting
facebook-prophet
signal-generator
supertrend
pivot-point
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Updated
Mar 28, 2020 - Python
Personal Financial Forecasting Model
personal-finance
excel
libreoffice
spreadsheet
budgeting
forecasting
investments
financial-analysis
workbook
mortgage-calculator
social-security
forecasting-models
debt
amortization
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Updated
Aug 11, 2017
Automatic forecasting and Bayesian modeling for time series with Stan
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Updated
Jun 17, 2021 - C++
midasml package is dedicated to run predictive high-dimensional mixed data sampling models
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Updated
May 28, 2021 - R
Forecasting Monthly Sales of French Champagne - Perrin Freres
arma
autoregressive
forecasting-models
time-series-analysis
sarimax
moving-average
arima-model
exponential-smoothing
trend-analysis
seasonality
holt
holtwinters
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Updated
Jun 23, 2019 - Jupyter Notebook
ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
machine-learning
stock-price-prediction
quant
quantitative-finance
algorithmic-trading
forecasting-models
moving-average
regression-analysis
bollinger-bands
signal-generator
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Updated
Oct 23, 2018 - Python
COVID-19 Growth Forecast
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Updated
May 11, 2021 - Jupyter Notebook
Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
machine-learning
forecasting
survival-analysis
forecasting-models
competing-risks
time-series-analysis
time-to-event
panel-analysis
multivariate-time-series
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Updated
Jun 30, 2021 - Python
Hydrology and Climate Forecasting R package
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Updated
Aug 28, 2020 - R
Feature engineering and machine learning: together at last!
data-science
machine-learning
data-mining
time-series
forecasting
data-analysis
feature-engineering
forecasting-models
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Updated
Jan 1, 2021 - Python
Fully Functional Point of Sale (POS) CLI system with sales, predictive and analytics tool. Written in pure C language
sales
terminal
authentication
interface
scanner
inventory
database-management
pos
dynamical-systems
forecast-information
forecasting-models
cashier
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Updated
Mar 15, 2021 - C
Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)
python
tensorflow
keras
jupyter-notebook
prediction
usa
forecast
dataset
lstm
forecasting
stock-price-prediction
lstm-model
cbot
forecasting-models
lstm-neural-networks
prediction-model
rmse
colab-notebook
cbot-soybean-futures
soybean
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Updated
Dec 12, 2020 - Jupyter Notebook
How to Make Out-of-Sample Forecasts with ARIMA in Python
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Updated
May 29, 2017 - Python
Code accompanying the Anatolyev, S. and Baruník, J., (2019). Forecasting dynamic return distributions based on ordered binary choice. International Journal of Forecasting, 35(3), pp.823-835
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Updated
Apr 3, 2019 - Julia
[Sklearn] [Python] [SQL] Machine Learning project - forecasting company sales finish with pipeline data
python
sales
postgres
machine-learning
sql
scikit-learn
sklearn
postgresql
forecasting
machinelearning
forecasting-models
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Updated
Jul 13, 2020 - Jupyter Notebook
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Is your feature request related to a current problem? Please describe.
In order to create an outlier detection with Prophet, i need the full dataframe that's return Prophet
Describe proposed solution
Remove the hardcoded
["yhat"]fromProphet.predictadd a variable asking to return justyhator all the predictions:'yhat_lower', 'yhat_upper', etc..https://unit8co.github.io/d