Pytides is small Python package for the analysis and prediction of tides. Pytides can be used to extrapolate the tidal behaviour at a given location from its previous behaviour. The method used is that of harmonic constituents, in particular as presented by P. Schureman in Special Publication ...
Code Issues Pull requests Statsmodels: statistical modeling and econometrics in Python python data-science statistics prediction econometrics forecasting data-analysis regression-models hypothesis-testing generalized-linear-models timeseries-analysis robust-estimation count-model Updated Jan 7, 2025 Python ...
In this study, the LSTM and LSTM-Markov models have been applied to understand the future transmission dynamics of COVID-19. The experiments are conducted on open-source libraries such as NumPy, Pandas and TensorFlow. Python, as a high-level general-purpose programming language, is used to int...
where the feedforward signal of a newly arriving word and the recurrent signal containing the previous word information are integrated (Fig.1b). When we visualized the word-by-word transition of Purkinje cells activity in the sentences using principal component analysis (PCA), three ...
The accompanying web services of MAGPIE have been developed as shown in Additional file2: Fig. S1. The tool provides online search functionality for pathogenicity scores by entering information on possible single-nucleotide variants (SNVs). Additionally, users can register and request analysis for ...
Feature extraction for machine learning based regression analysis We designed a template matching algorithm for object detection using\(OpenCV\)(algorithm I) to extract the total number of pearl chains in an image, count each pearl chain and map them into a matrix that represents these features. ...
For brevity, I have included python code snippet (without code comments) shown below that I used to process the customer churn data set for exploratory data analysis previously. You may want to refer to theprevious postfor the steps used and the rational in preparing and handling the imported...
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Machine learning models for time series analysis pythonmachine-learningstatisticsdeep-learningtime-seriesneural-networkbitcointensorflowethereumblockchainrecurrent-neural-networkscryptocurrencyxgboostquantitative-financefinancial-engineeringpoloniex-apitime-series-predictionpoloniex-trade-bot ...
Python Star1.5k A selection of state-of-the-art research materials on trajectory prediction machine-learningcomputer-visiondeep-learningpapertrafficartificial-intelligencetrajectory-generationsocial-interactionsmultiagent-systemsbehavior-analysisautonomous-drivingautonomous-vehiclestrajectory-predictionmultiagent-learninghu...