Wenyao Zhao's repositories
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.
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.