Showing posts with label Time series. Show all posts
Showing posts with label Time series. Show all posts

Monday, June 26, 2023

Soundscape works

 

[1] A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network

https://www.sciencedirect.com/science/article/pii/S1574954120300637?via%3Dihub

[2] https://www.frontiersin.org/articles/10.3389/fevo.2021.738537/full

Wednesday, March 23, 2022

Stock Price Prediction - data source

 

[1] Nasdaq API https://data.nasdaq.com/sign-up 

[2] API https://data.nasdaq.com/tools/python (API is in setting option)


Sunday, November 14, 2021

Time series forecasting

To review

 

[1] https://machinelearningmastery.com/how-to-develop-lstm-models-for-time-series-forecasting/

[2] https://www.tensorflow.org/tutorials/structured_data/time_series

[3] https://analyticsindiamag.com/tutorial-on-univariate-single-step-style-lstm-in-time-series-forecasting/

[4] https://towardsdatascience.com/multivariate-time-series-forecasting-with-transformers-384dc6ce989b

 

 

Friday, September 18, 2020

Time series

https://towardsdatascience.com/the-complete-guide-to-time-series-analysis-and-forecasting-70d476bfe775

https://github.com/AileenNielsen/TimeSeriesAnalysisWithPython
https://github.com/aurea-soriano/PublicAnomalyDetection

 

Tools

[1] Smooth time series

https://machinelearningmastery.com/moving-average-smoothing-for-time-series-forecasting-python/


[2] Auto encoders https://towardsdatascience.com/autoencoders-for-the-compression-of-stock-market-data-28e8c1a2da3e


Firefox open multiple private window

    /opt/firefox/firefox-bin --profile $(mktemp -d) --private-window www.google.com www.bing.com