In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.

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

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 …

PyTorch Tutorial for Deep Learning Researchers

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

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 seri…

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

Reference implementations of several LangChain agents as Streamlit apps

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

Time Series Forecasting Best Practices & Examples

Time series Analysis using LSTM,RNN and GRU with pytorch

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

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

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

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

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, MAP…

Machine Learning Project

Time series prediction using ARIMA