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arima

Time series prediction using ARIMA

darts

A python library for user-friendly forecasting and anomaly detection on time series.

data-scientist-in-python

This repository contains notes and projects of Data scientist track from dataquest course work.

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

flowersite.io

flower site

forecasting

Time Series Forecasting Best Practices & Examples

mssqlserver_pandas

Using Python Pandas dataframe to read and insert data to Microsoft SQL Server

nyc-taxi-trip-duration

Machine Learning Project

product-sales-forecasting

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

retail-analysis-with-walmart-data

The aim of this project to retail analysis with Walmart data.

streamlit-chatgpt

Reference implementations of several LangChain agents as Streamlit apps

streamlit_forecasting_app

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

study

time-series-analysis-using-lstm-rnn-and-gru

Time series Analysis using LSTM,RNN and GRU with pytorch

time-series-forecasitng-using-neural-networks

This is a time series forecasting project using Neural Networks. In this project, I try to make a forecast of criminal activities within the City of london. Two Neural Networks algorithms will be utilized i.e N-BEATS and DeepAR

time-series-forecasting-lstm-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

timeseriesforecasting_carbonemissions

Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.

transformer-time-series

A library to benchmark various transformer and non-transformer models on time series forcasting, imputation and abnormality detection

tsfpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

womzhao

cool, cold, cow